Overview

Dataset statistics

Number of variables482
Number of observations4843
Missing cells432194
Missing cells (%)18.5%
Total size in memory17.8 MiB
Average record size in memory3.8 KiB

Variable types

Numeric414
Categorical67
Unsupported1

Alerts

MAILCODE has constant value "B" Constant
PVASTATE has constant value "P" Constant
RECINHSE has constant value "X" Constant
RECP3 has constant value "X" Constant
RECPGVG has constant value "X" Constant
RECSWEEP has constant value "X" Constant
MAJOR has constant value "X" Constant
COLLECT1 has constant value "Y" Constant
VETERANS has constant value "Y" Constant
BIBLE has constant value "Y" Constant
CATLG has constant value "Y" Constant
HOMEE has constant value "Y" Constant
PETS has constant value "Y" Constant
CDPLAY has constant value "Y" Constant
STEREO has constant value "Y" Constant
PCOWNERS has constant value "Y" Constant
PHOTO has constant value "Y" Constant
CRAFTS has constant value "Y" Constant
FISHER has constant value "Y" Constant
GARDENIN has constant value "Y" Constant
BOATS has constant value "Y" Constant
WALKER has constant value "Y" Constant
KIDSTUFF has constant value "Y" Constant
CARDS has constant value "Y" Constant
PLATES has constant value "Y" Constant
PEPSTRFL has constant value "X" Constant
ADATE_5 has constant value "9604.0" Constant
ADATE_15 has constant value "9504.0" Constant
TARGET_B has constant value "1" Constant
RFA_2R has constant value "L" Constant
OSOURCE has a high cardinality: 385 distinct values High cardinality
ZIP has a high cardinality: 3671 distinct values High cardinality
RFA_3 has a high cardinality: 58 distinct values High cardinality
RFA_4 has a high cardinality: 56 distinct values High cardinality
RFA_6 has a high cardinality: 91 distinct values High cardinality
RFA_7 has a high cardinality: 83 distinct values High cardinality
RFA_8 has a high cardinality: 85 distinct values High cardinality
RFA_9 has a high cardinality: 88 distinct values High cardinality
RFA_10 has a high cardinality: 71 distinct values High cardinality
RFA_11 has a high cardinality: 90 distinct values High cardinality
RFA_12 has a high cardinality: 94 distinct values High cardinality
RFA_13 has a high cardinality: 63 distinct values High cardinality
RFA_14 has a high cardinality: 84 distinct values High cardinality
RFA_16 has a high cardinality: 104 distinct values High cardinality
RFA_17 has a high cardinality: 102 distinct values High cardinality
RFA_18 has a high cardinality: 108 distinct values High cardinality
RFA_19 has a high cardinality: 96 distinct values High cardinality
RFA_20 has a high cardinality: 67 distinct values High cardinality
RFA_21 has a high cardinality: 91 distinct values High cardinality
RFA_22 has a high cardinality: 101 distinct values High cardinality
RFA_23 has a high cardinality: 57 distinct values High cardinality
RFA_24 has a high cardinality: 77 distinct values High cardinality
OSOURCE has 72 (1.5%) missing values Missing
MAILCODE has 4791 (98.9%) missing values Missing
PVASTATE has 4770 (98.5%) missing values Missing
RECINHSE has 4399 (90.8%) missing values Missing
RECP3 has 4659 (96.2%) missing values Missing
RECPGVG has 4834 (99.8%) missing values Missing
RECSWEEP has 4766 (98.4%) missing values Missing
DOMAIN has 140 (2.9%) missing values Missing
CLUSTER has 140 (2.9%) missing values Missing
AGE has 1154 (23.8%) missing values Missing
AGEFLAG has 1460 (30.1%) missing values Missing
HOMEOWNR has 1177 (24.3%) missing values Missing
CHILD03 has 4797 (99.1%) missing values Missing
CHILD07 has 4774 (98.6%) missing values Missing
CHILD12 has 4765 (98.4%) missing values Missing
CHILD18 has 4711 (97.3%) missing values Missing
NUMCHLD has 4278 (88.3%) missing values Missing
INCOME has 1103 (22.8%) missing values Missing
GENDER has 162 (3.3%) missing values Missing
WEALTH1 has 2235 (46.1%) missing values Missing
MBCRAFT has 2615 (54.0%) missing values Missing
MBGARDEN has 2615 (54.0%) missing values Missing
MBBOOKS has 2615 (54.0%) missing values Missing
MBCOLECT has 2616 (54.0%) missing values Missing
MAGFAML has 2615 (54.0%) missing values Missing
MAGFEM has 2615 (54.0%) missing values Missing
MAGMALE has 2615 (54.0%) missing values Missing
PUBGARDN has 2615 (54.0%) missing values Missing
PUBCULIN has 2615 (54.0%) missing values Missing
PUBHLTH has 2615 (54.0%) missing values Missing
PUBDOITY has 2615 (54.0%) missing values Missing
PUBNEWFN has 2615 (54.0%) missing values Missing
PUBPHOTO has 2615 (54.0%) missing values Missing
PUBOPP has 2615 (54.0%) missing values Missing
DATASRCE has 1103 (22.8%) missing values Missing
SOLP3 has 4833 (99.8%) missing values Missing
SOLIH has 4475 (92.4%) missing values Missing
MAJOR has 4828 (99.7%) missing values Missing
WEALTH2 has 2079 (42.9%) missing values Missing
GEOCODE has 3937 (81.3%) missing values Missing
COLLECT1 has 4546 (93.9%) missing values Missing
VETERANS has 4263 (88.0%) missing values Missing
BIBLE has 4359 (90.0%) missing values Missing
CATLG has 4412 (91.1%) missing values Missing
HOMEE has 4793 (99.0%) missing values Missing
PETS has 4051 (83.6%) missing values Missing
CDPLAY has 4196 (86.6%) missing values Missing
STEREO has 4189 (86.5%) missing values Missing
PCOWNERS has 4313 (89.1%) missing values Missing
PHOTO has 4573 (94.4%) missing values Missing
CRAFTS has 4387 (90.6%) missing values Missing
FISHER has 4476 (92.4%) missing values Missing
GARDENIN has 4080 (84.2%) missing values Missing
BOATS has 4730 (97.7%) missing values Missing
WALKER has 4232 (87.4%) missing values Missing
KIDSTUFF has 4761 (98.3%) missing values Missing
CARDS has 4782 (98.7%) missing values Missing
PLATES has 4808 (99.3%) missing values Missing
LIFESRC has 2612 (53.9%) missing values Missing
PEPSTRFL has 1958 (40.4%) missing values Missing
ADATE_3 has 132 (2.7%) missing values Missing
ADATE_4 has 136 (2.8%) missing values Missing
ADATE_5 has 1508 (31.1%) missing values Missing
ADATE_6 has 220 (4.5%) missing values Missing
ADATE_7 has 533 (11.0%) missing values Missing
ADATE_8 has 137 (2.8%) missing values Missing
ADATE_9 has 413 (8.5%) missing values Missing
ADATE_10 has 1631 (33.7%) missing values Missing
ADATE_11 has 477 (9.8%) missing values Missing
ADATE_12 has 373 (7.7%) missing values Missing
ADATE_13 has 1926 (39.8%) missing values Missing
ADATE_14 has 746 (15.4%) missing values Missing
ADATE_15 has 3118 (64.4%) missing values Missing
ADATE_16 has 834 (17.2%) missing values Missing
ADATE_17 has 1362 (28.1%) missing values Missing
ADATE_18 has 941 (19.4%) missing values Missing
ADATE_19 has 1053 (21.7%) missing values Missing
ADATE_20 has 2542 (52.5%) missing values Missing
ADATE_21 has 1781 (36.8%) missing values Missing
ADATE_22 has 1148 (23.7%) missing values Missing
ADATE_23 has 2665 (55.0%) missing values Missing
ADATE_24 has 1688 (34.9%) missing values Missing
RFA_3 has 132 (2.7%) missing values Missing
RFA_4 has 149 (3.1%) missing values Missing
RFA_5 has 1508 (31.1%) missing values Missing
RFA_6 has 220 (4.5%) missing values Missing
RFA_7 has 533 (11.0%) missing values Missing
RFA_8 has 137 (2.8%) missing values Missing
RFA_9 has 413 (8.5%) missing values Missing
RFA_10 has 1631 (33.7%) missing values Missing
RFA_11 has 477 (9.8%) missing values Missing
RFA_12 has 373 (7.7%) missing values Missing
RFA_13 has 1926 (39.8%) missing values Missing
RFA_14 has 746 (15.4%) missing values Missing
RFA_15 has 3118 (64.4%) missing values Missing
RFA_16 has 839 (17.3%) missing values Missing
RFA_17 has 1362 (28.1%) missing values Missing
RFA_18 has 941 (19.4%) missing values Missing
RFA_19 has 1054 (21.8%) missing values Missing
RFA_20 has 2542 (52.5%) missing values Missing
RFA_21 has 1781 (36.8%) missing values Missing
RFA_22 has 1148 (23.7%) missing values Missing
RFA_23 has 2665 (55.0%) missing values Missing
RFA_24 has 1688 (34.9%) missing values Missing
RDATE_3 has 4802 (99.2%) missing values Missing
RDATE_4 has 4814 (99.4%) missing values Missing
RDATE_5 has 4841 (> 99.9%) missing values Missing
RDATE_6 has 4777 (98.6%) missing values Missing
RDATE_7 has 4366 (90.2%) missing values Missing
RDATE_8 has 3443 (71.1%) missing values Missing
RDATE_9 has 3788 (78.2%) missing values Missing
RDATE_10 has 4313 (89.1%) missing values Missing
RDATE_11 has 4001 (82.6%) missing values Missing
RDATE_12 has 3320 (68.6%) missing values Missing
RDATE_13 has 3976 (82.1%) missing values Missing
RDATE_14 has 3283 (67.8%) missing values Missing
RDATE_15 has 4332 (89.4%) missing values Missing
RDATE_16 has 3310 (68.3%) missing values Missing
RDATE_17 has 4330 (89.4%) missing values Missing
RDATE_18 has 3635 (75.1%) missing values Missing
RDATE_19 has 3854 (79.6%) missing values Missing
RDATE_20 has 4426 (91.4%) missing values Missing
RDATE_21 has 4353 (89.9%) missing values Missing
RDATE_22 has 3589 (74.1%) missing values Missing
RDATE_23 has 4341 (89.6%) missing values Missing
RDATE_24 has 3704 (76.5%) missing values Missing
RAMNT_3 has 4802 (99.2%) missing values Missing
RAMNT_4 has 4814 (99.4%) missing values Missing
RAMNT_5 has 4841 (> 99.9%) missing values Missing
RAMNT_6 has 4777 (98.6%) missing values Missing
RAMNT_7 has 4366 (90.2%) missing values Missing
RAMNT_8 has 3443 (71.1%) missing values Missing
RAMNT_9 has 3788 (78.2%) missing values Missing
RAMNT_10 has 4313 (89.1%) missing values Missing
RAMNT_11 has 4001 (82.6%) missing values Missing
RAMNT_12 has 3320 (68.6%) missing values Missing
RAMNT_13 has 3976 (82.1%) missing values Missing
RAMNT_14 has 3283 (67.8%) missing values Missing
RAMNT_15 has 4332 (89.4%) missing values Missing
RAMNT_16 has 3310 (68.3%) missing values Missing
RAMNT_17 has 4330 (89.4%) missing values Missing
RAMNT_18 has 3635 (75.1%) missing values Missing
RAMNT_19 has 3854 (79.6%) missing values Missing
RAMNT_20 has 4426 (91.4%) missing values Missing
RAMNT_21 has 4353 (89.9%) missing values Missing
RAMNT_22 has 3589 (74.1%) missing values Missing
RAMNT_23 has 4341 (89.6%) missing values Missing
RAMNT_24 has 3704 (76.5%) missing values Missing
NEXTDATE has 320 (6.6%) missing values Missing
TIMELAG has 320 (6.6%) missing values Missing
TCODE is highly skewed (γ1 = 27.53667955) Skewed
ETH12 is highly skewed (γ1 = 25.9922486) Skewed
TPE6 is highly skewed (γ1 = 22.42757609) Skewed
HC15 is highly skewed (γ1 = 29.02419685) Skewed
ADATE_2 is highly skewed (γ1 = -34.76347769) Skewed
ADATE_3 is highly skewed (γ1 = -39.60217956) Skewed
ADATE_6 is highly skewed (γ1 = -25.64872238) Skewed
ADATE_14 is highly skewed (γ1 = -21.2733584) Skewed
ADATE_20 is highly skewed (γ1 = 47.96873982) Skewed
ADATE_23 is highly skewed (γ1 = -32.91255705) Skewed
RDATE_8 is highly skewed (γ1 = 36.61292026) Skewed
MINRAMNT is highly skewed (γ1 = 25.93206096) Skewed
MAXRAMNT is highly skewed (γ1 = 26.13312674) Skewed
df_index has unique values Unique
CONTROLN has unique values Unique
NOEXCH is an unsupported type, check if it needs cleaning or further analysis Unsupported
TCODE has 2201 (45.4%) zeros Zeros
DOB has 1154 (23.8%) zeros Zeros
WEALTH1 has 111 (2.3%) zeros Zeros
HIT has 2753 (56.8%) zeros Zeros
MBCRAFT has 1950 (40.3%) zeros Zeros
MBGARDEN has 2110 (43.6%) zeros Zeros
MBBOOKS has 1113 (23.0%) zeros Zeros
MBCOLECT has 2116 (43.7%) zeros Zeros
MAGFAML has 1539 (31.8%) zeros Zeros
MAGFEM has 1966 (40.6%) zeros Zeros
MAGMALE has 2073 (42.8%) zeros Zeros
PUBGARDN has 2000 (41.3%) zeros Zeros
PUBCULIN has 1966 (40.6%) zeros Zeros
PUBHLTH has 1389 (28.7%) zeros Zeros
PUBDOITY has 1919 (39.6%) zeros Zeros
PUBNEWFN has 1759 (36.3%) zeros Zeros
PUBPHOTO has 2214 (45.7%) zeros Zeros
PUBOPP has 1963 (40.5%) zeros Zeros
MALEMILI has 3747 (77.4%) zeros Zeros
MALEVET has 185 (3.8%) zeros Zeros
VIETVETS has 301 (6.2%) zeros Zeros
WWIIVETS has 270 (5.6%) zeros Zeros
LOCALGOV has 330 (6.8%) zeros Zeros
STATEGOV has 737 (15.2%) zeros Zeros
FEDGOV has 1062 (21.9%) zeros Zeros
WEALTH2 has 161 (3.3%) zeros Zeros
POP90C1 has 1739 (35.9%) zeros Zeros
POP90C2 has 3898 (80.5%) zeros Zeros
POP90C3 has 2856 (59.0%) zeros Zeros
ETH2 has 1633 (33.7%) zeros Zeros
ETH3 has 3090 (63.8%) zeros Zeros
ETH4 has 1749 (36.1%) zeros Zeros
ETH5 has 723 (14.9%) zeros Zeros
ETH6 has 4078 (84.2%) zeros Zeros
ETH7 has 3890 (80.3%) zeros Zeros
ETH8 has 3668 (75.7%) zeros Zeros
ETH9 has 3753 (77.5%) zeros Zeros
ETH10 has 4081 (84.3%) zeros Zeros
ETH11 has 4293 (88.6%) zeros Zeros
ETH12 has 4781 (98.7%) zeros Zeros
ETH13 has 1609 (33.2%) zeros Zeros
ETH14 has 4050 (83.6%) zeros Zeros
ETH15 has 4459 (92.1%) zeros Zeros
ETH16 has 2017 (41.6%) zeros Zeros
AGE907 has 60 (1.2%) zeros Zeros
CHIL1 has 52 (1.1%) zeros Zeros
CHIL2 has 53 (1.1%) zeros Zeros
CHIL3 has 56 (1.2%) zeros Zeros
AGEC1 has 56 (1.2%) zeros Zeros
AGEC7 has 73 (1.5%) zeros Zeros
CHILC1 has 55 (1.1%) zeros Zeros
CHILC2 has 60 (1.2%) zeros Zeros
CHILC3 has 53 (1.1%) zeros Zeros
CHILC4 has 58 (1.2%) zeros Zeros
CHILC5 has 49 (1.0%) zeros Zeros
HHAGE2 has 96 (2.0%) zeros Zeros
HHN4 has 64 (1.3%) zeros Zeros
HHN5 has 99 (2.0%) zeros Zeros
HHN6 has 248 (5.1%) zeros Zeros
DW2 has 62 (1.3%) zeros Zeros
DW3 has 1848 (38.2%) zeros Zeros
DW4 has 859 (17.7%) zeros Zeros
DW5 has 1313 (27.1%) zeros Zeros
DW6 has 1752 (36.2%) zeros Zeros
DW7 has 3460 (71.4%) zeros Zeros
DW8 has 3871 (79.9%) zeros Zeros
DW9 has 4232 (87.4%) zeros Zeros
HV4 has 61 (1.3%) zeros Zeros
HU4 has 77 (1.6%) zeros Zeros
HU5 has 1461 (30.2%) zeros Zeros
HHD1 has 60 (1.2%) zeros Zeros
HHD4 has 66 (1.4%) zeros Zeros
HHD7 has 78 (1.6%) zeros Zeros
HHD8 has 492 (10.2%) zeros Zeros
HHD9 has 94 (1.9%) zeros Zeros
HHD12 has 81 (1.7%) zeros Zeros
ETHC1 has 109 (2.3%) zeros Zeros
ETHC2 has 54 (1.1%) zeros Zeros
ETHC3 has 68 (1.4%) zeros Zeros
ETHC4 has 2914 (60.2%) zeros Zeros
ETHC5 has 2001 (41.3%) zeros Zeros
ETHC6 has 3959 (81.7%) zeros Zeros
HVP1 has 1891 (39.0%) zeros Zeros
HVP2 has 1095 (22.6%) zeros Zeros
HVP3 has 378 (7.8%) zeros Zeros
HVP4 has 117 (2.4%) zeros Zeros
HVP6 has 2924 (60.4%) zeros Zeros
HUR1 has 868 (17.9%) zeros Zeros
HUPA1 has 943 (19.5%) zeros Zeros
HUPA2 has 2236 (46.2%) zeros Zeros
HUPA3 has 2460 (50.8%) zeros Zeros
HUPA4 has 101 (2.1%) zeros Zeros
HUPA5 has 1317 (27.2%) zeros Zeros
HUPA6 has 1893 (39.1%) zeros Zeros
HUPA7 has 2849 (58.8%) zeros Zeros
RP1 has 704 (14.5%) zeros Zeros
RP2 has 278 (5.7%) zeros Zeros
RP3 has 83 (1.7%) zeros Zeros
MSA has 1063 (21.9%) zeros Zeros
IC6 has 107 (2.2%) zeros Zeros
IC7 has 85 (1.8%) zeros Zeros
IC8 has 80 (1.7%) zeros Zeros
IC9 has 68 (1.4%) zeros Zeros
IC10 has 122 (2.5%) zeros Zeros
IC11 has 666 (13.8%) zeros Zeros
IC12 has 1823 (37.6%) zeros Zeros
IC13 has 2915 (60.2%) zeros Zeros
IC14 has 2471 (51.0%) zeros Zeros
IC15 has 285 (5.9%) zeros Zeros
IC16 has 164 (3.4%) zeros Zeros
IC17 has 134 (2.8%) zeros Zeros
IC18 has 93 (1.9%) zeros Zeros
IC19 has 145 (3.0%) zeros Zeros
IC20 has 758 (15.7%) zeros Zeros
IC21 has 1865 (38.5%) zeros Zeros
IC22 has 2939 (60.7%) zeros Zeros
IC23 has 2511 (51.8%) zeros Zeros
HHAS2 has 518 (10.7%) zeros Zeros
HHAS4 has 220 (4.5%) zeros Zeros
MC3 has 118 (2.4%) zeros Zeros
TPE2 has 124 (2.6%) zeros Zeros
TPE3 has 2647 (54.7%) zeros Zeros
TPE4 has 2921 (60.3%) zeros Zeros
TPE5 has 4448 (91.8%) zeros Zeros
TPE6 has 4632 (95.6%) zeros Zeros
TPE7 has 4017 (82.9%) zeros Zeros
TPE8 has 815 (16.8%) zeros Zeros
TPE9 has 818 (16.9%) zeros Zeros
PEC1 has 2265 (46.8%) zeros Zeros
PEC2 has 397 (8.2%) zeros Zeros
TPE12 has 558 (11.5%) zeros Zeros
LFC6 has 93 (1.9%) zeros Zeros
LFC7 has 117 (2.4%) zeros Zeros
LFC8 has 475 (9.8%) zeros Zeros
LFC9 has 1590 (32.8%) zeros Zeros
LFC10 has 1440 (29.7%) zeros Zeros
OCC1 has 94 (1.9%) zeros Zeros
OCC2 has 115 (2.4%) zeros Zeros
OCC3 has 515 (10.6%) zeros Zeros
OCC4 has 82 (1.7%) zeros Zeros
OCC5 has 69 (1.4%) zeros Zeros
OCC6 has 3601 (74.4%) zeros Zeros
OCC7 has 1404 (29.0%) zeros Zeros
OCC8 has 93 (1.9%) zeros Zeros
OCC9 has 1762 (36.4%) zeros Zeros
OCC10 has 129 (2.7%) zeros Zeros
OCC11 has 541 (11.2%) zeros Zeros
OCC12 has 632 (13.0%) zeros Zeros
OCC13 has 659 (13.6%) zeros Zeros
EIC1 has 1560 (32.2%) zeros Zeros
EIC2 has 3758 (77.6%) zeros Zeros
EIC3 has 254 (5.2%) zeros Zeros
EIC4 has 103 (2.1%) zeros Zeros
EIC5 has 431 (8.9%) zeros Zeros
EIC6 has 810 (16.7%) zeros Zeros
EIC7 has 445 (9.2%) zeros Zeros
EIC8 has 57 (1.2%) zeros Zeros
EIC9 has 224 (4.6%) zeros Zeros
EIC10 has 314 (6.5%) zeros Zeros
EIC11 has 620 (12.8%) zeros Zeros
EIC12 has 1633 (33.7%) zeros Zeros
EIC13 has 162 (3.3%) zeros Zeros
EIC14 has 199 (4.1%) zeros Zeros
EIC15 has 224 (4.6%) zeros Zeros
EIC16 has 481 (9.9%) zeros Zeros
OEDC1 has 206 (4.3%) zeros Zeros
OEDC2 has 619 (12.8%) zeros Zeros
OEDC3 has 944 (19.5%) zeros Zeros
OEDC4 has 192 (4.0%) zeros Zeros
OEDC6 has 246 (5.1%) zeros Zeros
OEDC7 has 3286 (67.9%) zeros Zeros
EC2 has 347 (7.2%) zeros Zeros
EC3 has 94 (1.9%) zeros Zeros
EC6 has 120 (2.5%) zeros Zeros
EC7 has 91 (1.9%) zeros Zeros
EC8 has 259 (5.3%) zeros Zeros
SEC1 has 463 (9.6%) zeros Zeros
SEC3 has 689 (14.2%) zeros Zeros
SEC4 has 75 (1.5%) zeros Zeros
SEC5 has 93 (1.9%) zeros Zeros
AFC1 has 3975 (82.1%) zeros Zeros
AFC2 has 3706 (76.5%) zeros Zeros
AFC3 has 4567 (94.3%) zeros Zeros
AFC6 has 1893 (39.1%) zeros Zeros
VC1 has 167 (3.4%) zeros Zeros
VC2 has 281 (5.8%) zeros Zeros
VC3 has 133 (2.7%) zeros Zeros
VC4 has 888 (18.3%) zeros Zeros
ANC1 has 2776 (57.3%) zeros Zeros
ANC2 has 297 (6.1%) zeros Zeros
ANC3 has 2115 (43.7%) zeros Zeros
ANC4 has 160 (3.3%) zeros Zeros
ANC5 has 4200 (86.7%) zeros Zeros
ANC6 has 4131 (85.3%) zeros Zeros
ANC7 has 249 (5.1%) zeros Zeros
ANC8 has 1506 (31.1%) zeros Zeros
ANC9 has 3030 (62.6%) zeros Zeros
ANC10 has 2205 (45.5%) zeros Zeros
ANC11 has 4345 (89.7%) zeros Zeros
ANC12 has 3910 (80.7%) zeros Zeros
ANC13 has 2292 (47.3%) zeros Zeros
ANC14 has 2663 (55.0%) zeros Zeros
ANC15 has 4524 (93.4%) zeros Zeros
POBC1 has 754 (15.6%) zeros Zeros
LSC2 has 946 (19.5%) zeros Zeros
LSC3 has 2815 (58.1%) zeros Zeros
LSC4 has 653 (13.5%) zeros Zeros
VOC3 has 98 (2.0%) zeros Zeros
HC3 has 2494 (51.5%) zeros Zeros
HC4 has 1313 (27.1%) zeros Zeros
HC5 has 900 (18.6%) zeros Zeros
HC6 has 428 (8.8%) zeros Zeros
HC7 has 192 (4.0%) zeros Zeros
HC8 has 538 (11.1%) zeros Zeros
HC9 has 3425 (70.7%) zeros Zeros
HC10 has 3429 (70.8%) zeros Zeros
HC11 has 519 (10.7%) zeros Zeros
HC12 has 1826 (37.7%) zeros Zeros
HC13 has 276 (5.7%) zeros Zeros
HC14 has 2663 (55.0%) zeros Zeros
HC15 has 4604 (95.1%) zeros Zeros
HC16 has 2119 (43.8%) zeros Zeros
HC17 has 122 (2.5%) zeros Zeros
HC18 has 2345 (48.4%) zeros Zeros
HC19 has 177 (3.7%) zeros Zeros
MHUC1 has 106 (2.2%) zeros Zeros
MHUC2 has 179 (3.7%) zeros Zeros
AC1 has 105 (2.2%) zeros Zeros
AC2 has 134 (2.8%) zeros Zeros
CARDGIFT has 149 (3.1%) zeros Zeros
TIMELAG has 50 (1.0%) zeros Zeros
HPHONE_D has 2446 (50.5%) zeros Zeros

Reproduction

Analysis started2022-11-23 18:35:47.569129
Analysis finished2022-11-23 18:35:53.140013
Duration5.57 seconds
Software versionpandas-profiling v3.4.0
Download configurationconfig.json

Variables

df_index
Real number (ℝ≥0)

UNIQUE

Distinct4843
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47607.81416
Minimum20
Maximum95410
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:35:53.195884image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile4619.1
Q123949
median47829
Q371338
95-th percentile90289
Maximum95410
Range95390
Interquartile range (IQR)47389

Descriptive statistics

Standard deviation27400.21112
Coefficient of variation (CV)0.575540205
Kurtosis-1.191482428
Mean47607.81416
Median Absolute Deviation (MAD)23644
Skewness-0.007357377428
Sum230564644
Variance750771569.6
MonotonicityStrictly increasing
2022-11-23T19:35:53.272294image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201
 
< 0.1%
636191
 
< 0.1%
635861
 
< 0.1%
635531
 
< 0.1%
635231
 
< 0.1%
634951
 
< 0.1%
634891
 
< 0.1%
634831
 
< 0.1%
634721
 
< 0.1%
634491
 
< 0.1%
Other values (4833)4833
99.8%
ValueCountFrequency (%)
201
< 0.1%
301
< 0.1%
451
< 0.1%
781
< 0.1%
931
< 0.1%
ValueCountFrequency (%)
954101
< 0.1%
954031
< 0.1%
953981
< 0.1%
953091
< 0.1%
952981
< 0.1%

ODATEDW
Real number (ℝ≥0)

Distinct20
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9093.434441
Minimum8601
Maximum9701
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:35:53.342408image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum8601
5-th percentile8601
Q18801
median9101
Q39401
95-th percentile9601
Maximum9701
Range1100
Interquartile range (IQR)600

Descriptive statistics

Standard deviation342.2560154
Coefficient of variation (CV)0.03763770637
Kurtosis-1.378052595
Mean9093.434441
Median Absolute Deviation (MAD)300
Skewness-0.09983551676
Sum44039503
Variance117139.1801
MonotonicityNot monotonic
2022-11-23T19:35:53.400912image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
8601887
18.3%
9501733
15.1%
9401579
12.0%
9001443
9.1%
9101426
8.8%
8801390
8.1%
9201360
7.4%
9601312
 
6.4%
8901283
 
5.8%
9301216
 
4.5%
Other values (10)214
 
4.4%
ValueCountFrequency (%)
8601887
18.3%
86041
 
< 0.1%
86081
 
< 0.1%
8701200
 
4.1%
87041
 
< 0.1%
ValueCountFrequency (%)
97016
 
0.1%
9601312
6.4%
95111
 
< 0.1%
9501733
15.1%
94101
 
< 0.1%

OSOURCE
Categorical

HIGH CARDINALITY
MISSING

Distinct385
Distinct (%)8.1%
Missing72
Missing (%)1.5%
Memory size38.0 KiB
MBC
 
229
AML
 
225
SYN
 
184
BHG
 
180
IMP
 
170
Other values (380)
3783 

Unique

Unique138 ?
Unique (%)2.9%

Sample

1st rowBBK
2nd rowSYN
3rd rowDRK
4th rowBHG
5th rowL01

Common Values

ValueCountFrequency (%)
MBC229
 
4.7%
AML225
 
4.6%
SYN184
 
3.8%
BHG180
 
3.7%
IMP170
 
3.5%
AMB142
 
2.9%
L01125
 
2.6%
ARG119
 
2.5%
LIS108
 
2.2%
DNA98
 
2.0%
Other values (375)3191
65.9%

TCODE
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct23
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.60479042
Minimum0
Maximum39002
Zeros2201
Zeros (%)45.4%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:35:53.461239image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile28
Maximum39002
Range39002
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1160.449623
Coefficient of variation (CV)15.55462613
Kurtosis803.5142253
Mean74.60479042
Median Absolute Deviation (MAD)1
Skewness27.53667955
Sum361311
Variance1346643.327
MonotonicityNot monotonic
2022-11-23T19:35:53.521168image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
02201
45.4%
11194
24.7%
2846
 
17.5%
28382
 
7.9%
1002128
 
2.6%
337
 
0.8%
420
 
0.4%
727
 
0.1%
9806
 
0.1%
280284
 
0.1%
Other values (13)18
 
0.4%
ValueCountFrequency (%)
02201
45.4%
11194
24.7%
2846
 
17.5%
337
 
0.8%
420
 
0.4%
ValueCountFrequency (%)
390022
 
< 0.1%
280284
 
0.1%
140021
 
< 0.1%
40022
 
< 0.1%
1002128
2.6%

STATE
Categorical

Distinct48
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size38.0 KiB
CA
1059 
FL
417 
TX
369 
IL
296 
MI
279 
Other values (43)
2423 

Unique

Unique6 ?
Unique (%)0.1%

Sample

1st rowMN
2nd rowTX
3rd rowIA
4th rowCA
5th rowGA

Common Values

ValueCountFrequency (%)
CA1059
21.9%
FL417
 
8.6%
TX369
 
7.6%
IL296
 
6.1%
MI279
 
5.8%
NC204
 
4.2%
WA194
 
4.0%
GA142
 
2.9%
WI139
 
2.9%
OR138
 
2.8%
Other values (38)1606
33.2%

ZIP
Categorical

HIGH CARDINALITY

Distinct3671
Distinct (%)75.8%
Missing0
Missing (%)0.0%
Memory size38.0 KiB
95409
 
6
33009
 
6
90241
 
6
98103
 
5
91740
 
5
Other values (3666)
4815 

Unique

Unique2803 ?
Unique (%)57.9%

Sample

1st row55125
2nd row77546
3rd row52402
4th row92625
5th row30032

Common Values

ValueCountFrequency (%)
954096
 
0.1%
330096
 
0.1%
902416
 
0.1%
981035
 
0.1%
917405
 
0.1%
926465
 
0.1%
606415
 
0.1%
601935
 
0.1%
926535
 
0.1%
906315
 
0.1%
Other values (3661)4790
98.9%

MAILCODE
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)1.9%
Missing4791
Missing (%)98.9%
Memory size38.0 KiB
B
52 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowB
2nd rowB
3rd rowB
4th rowB
5th rowB

Common Values

ValueCountFrequency (%)
B52
 
1.1%
(Missing)4791
98.9%

Category Frequency Plot

2022-11-23T19:35:53.586180image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

PVASTATE
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)1.4%
Missing4770
Missing (%)98.5%
Memory size38.0 KiB
P
73 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowP
2nd rowP
3rd rowP
4th rowP
5th rowP

Common Values

ValueCountFrequency (%)
P73
 
1.5%
(Missing)4770
98.5%

Category Frequency Plot

2022-11-23T19:35:53.634635image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

DOB
Real number (ℝ≥0)

ZEROS

Distinct666
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2707.896758
Minimum0
Maximum9310
Zeros1154
Zeros (%)23.8%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:35:53.692111image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1701
median2609
Q34401
95-th percentile6001
Maximum9310
Range9310
Interquartile range (IQR)3700

Descriptive statistics

Standard deviation2052.019646
Coefficient of variation (CV)0.757790946
Kurtosis-1.058966529
Mean2707.896758
Median Absolute Deviation (MAD)1802
Skewness0.1428693117
Sum13114344
Variance4210784.628
MonotonicityNot monotonic
2022-11-23T19:35:53.858142image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01154
 
23.8%
300181
 
1.7%
220175
 
1.5%
240173
 
1.5%
480170
 
1.4%
280169
 
1.4%
440166
 
1.4%
200163
 
1.3%
260160
 
1.2%
520160
 
1.2%
Other values (656)3072
63.4%
ValueCountFrequency (%)
01154
23.8%
13
 
0.1%
1031
 
< 0.1%
1101
 
< 0.1%
20111
 
0.2%
ValueCountFrequency (%)
93101
< 0.1%
83051
< 0.1%
82061
< 0.1%
81081
< 0.1%
81031
< 0.1%

NOEXCH
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size38.0 KiB

RECINHSE
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.2%
Missing4399
Missing (%)90.8%
Memory size38.0 KiB
X
444 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowX
2nd rowX
3rd rowX
4th rowX
5th rowX

Common Values

ValueCountFrequency (%)
X444
 
9.2%
(Missing)4399
90.8%

Category Frequency Plot

2022-11-23T19:35:53.927428image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

RECP3
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.5%
Missing4659
Missing (%)96.2%
Memory size38.0 KiB
X
184 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowX
2nd rowX
3rd rowX
4th rowX
5th rowX

Common Values

ValueCountFrequency (%)
X184
 
3.8%
(Missing)4659
96.2%

Category Frequency Plot

2022-11-23T19:35:53.973778image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

RECPGVG
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)11.1%
Missing4834
Missing (%)99.8%
Memory size38.0 KiB
X
9 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowX
2nd rowX
3rd rowX
4th rowX
5th rowX

Common Values

ValueCountFrequency (%)
X9
 
0.2%
(Missing)4834
99.8%

Category Frequency Plot

2022-11-23T19:35:54.020939image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

RECSWEEP
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)1.3%
Missing4766
Missing (%)98.4%
Memory size38.0 KiB
X
77 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowX
2nd rowX
3rd rowX
4th rowX
5th rowX

Common Values

ValueCountFrequency (%)
X77
 
1.6%
(Missing)4766
98.4%

Category Frequency Plot

2022-11-23T19:35:54.067871image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

MDMAUD
Categorical

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size38.0 KiB
XXXX
4828 
C1CM
 
6
I1CM
 
3
D2CM
 
1
C2LM
 
1
Other values (4)
 
4

Unique

Unique6 ?
Unique (%)0.1%

Sample

1st rowXXXX
2nd rowXXXX
3rd rowXXXX
4th rowXXXX
5th rowXXXX

Common Values

ValueCountFrequency (%)
XXXX4828
99.7%
C1CM6
 
0.1%
I1CM3
 
0.1%
D2CM1
 
< 0.1%
C2LM1
 
< 0.1%
L2LM1
 
< 0.1%
C2CM1
 
< 0.1%
L2CM1
 
< 0.1%
D1CM1
 
< 0.1%

Category Frequency Plot

2022-11-23T19:35:54.120575image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

DOMAIN
Categorical

MISSING

Distinct16
Distinct (%)0.3%
Missing140
Missing (%)2.9%
Memory size38.0 KiB
T2
652 
S1
637 
R2
617 
S2
476 
C2
430 
Other values (11)
1891 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowS1
2nd rowT1
3rd rowC1
4th rowS1
5th rowS2

Common Values

ValueCountFrequency (%)
T2652
13.5%
S1637
13.2%
R2617
12.7%
S2476
9.8%
C2430
8.9%
C1352
7.3%
T1270
5.6%
U1251
 
5.2%
R3237
 
4.9%
C3224
 
4.6%
Other values (6)557
11.5%

CLUSTER
Real number (ℝ≥0)

MISSING

Distinct53
Distinct (%)1.1%
Missing140
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean27.50372103
Minimum1
Maximum53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:35:54.185840image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q115
median27
Q340
95-th percentile50
Maximum53
Range52
Interquartile range (IQR)25

Descriptive statistics

Standard deviation14.35035636
Coefficient of variation (CV)0.5217605407
Kurtosis-1.119555828
Mean27.50372103
Median Absolute Deviation (MAD)13
Skewness-0.04327410665
Sum129350
Variance205.9327275
MonotonicityNot monotonic
2022-11-23T19:35:54.258439image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40235
 
4.9%
24216
 
4.5%
35202
 
4.2%
36185
 
3.8%
13171
 
3.5%
18168
 
3.5%
27166
 
3.4%
12160
 
3.3%
49148
 
3.1%
14127
 
2.6%
Other values (43)2925
60.4%
(Missing)140
 
2.9%
ValueCountFrequency (%)
167
1.4%
299
2.0%
385
1.8%
430
 
0.6%
547
1.0%
ValueCountFrequency (%)
5388
1.8%
5213
 
0.3%
51101
2.1%
5035
 
0.7%
49148
3.1%

AGE
Real number (ℝ≥0)

MISSING

Distinct83
Distinct (%)2.2%
Missing1154
Missing (%)23.8%
Infinite0
Infinite (%)0.0%
Mean62.26158851
Minimum4
Maximum98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:35:54.332501image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile36
Q150
median63
Q375
95-th percentile86
Maximum98
Range94
Interquartile range (IQR)25

Descriptive statistics

Standard deviation15.84616741
Coefficient of variation (CV)0.2545095264
Kurtosis-0.7563695229
Mean62.26158851
Median Absolute Deviation (MAD)13
Skewness-0.2081088193
Sum229683
Variance251.1010214
MonotonicityNot monotonic
2022-11-23T19:35:54.406432image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
74113
 
2.3%
68110
 
2.3%
78106
 
2.2%
76102
 
2.1%
50101
 
2.1%
70100
 
2.1%
5493
 
1.9%
7288
 
1.8%
8086
 
1.8%
4685
 
1.8%
Other values (73)2705
55.9%
(Missing)1154
23.8%
ValueCountFrequency (%)
41
< 0.1%
151
< 0.1%
162
< 0.1%
171
< 0.1%
202
< 0.1%
ValueCountFrequency (%)
983
 
0.1%
971
 
< 0.1%
9612
0.2%
952
 
< 0.1%
948
0.2%

AGEFLAG
Categorical

MISSING

Distinct2
Distinct (%)0.1%
Missing1460
Missing (%)30.1%
Memory size38.0 KiB
E
2911 
I
472 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowE
2nd rowE
3rd rowE
4th rowE
5th rowE

Common Values

ValueCountFrequency (%)
E2911
60.1%
I472
 
9.7%
(Missing)1460
30.1%

Category Frequency Plot

2022-11-23T19:35:54.473360image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

HOMEOWNR
Categorical

MISSING

Distinct2
Distinct (%)0.1%
Missing1177
Missing (%)24.3%
Memory size38.0 KiB
H
2708 
U
958 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowH
2nd rowH
3rd rowH
4th rowH
5th rowU

Common Values

ValueCountFrequency (%)
H2708
55.9%
U958
 
19.8%
(Missing)1177
24.3%

Category Frequency Plot

2022-11-23T19:35:54.523291image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

CHILD03
Categorical

MISSING

Distinct2
Distinct (%)4.3%
Missing4797
Missing (%)99.1%
Memory size38.0 KiB
M
34 
F
12 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowM
2nd rowM
3rd rowM
4th rowM
5th rowF

Common Values

ValueCountFrequency (%)
M34
 
0.7%
F12
 
0.2%
(Missing)4797
99.1%

Category Frequency Plot

2022-11-23T19:35:54.570700image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

CHILD07
Categorical

MISSING

Distinct3
Distinct (%)4.3%
Missing4774
Missing (%)98.6%
Memory size38.0 KiB
M
45 
F
21 
B
 
3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowB
2nd rowF
3rd rowF
4th rowM
5th rowM

Common Values

ValueCountFrequency (%)
M45
 
0.9%
F21
 
0.4%
B3
 
0.1%
(Missing)4774
98.6%

Category Frequency Plot

2022-11-23T19:35:54.619390image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

CHILD12
Categorical

MISSING

Distinct3
Distinct (%)3.8%
Missing4765
Missing (%)98.4%
Memory size38.0 KiB
M
55 
F
17 
B
6 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowB
2nd rowM
3rd rowM
4th rowM
5th rowM

Common Values

ValueCountFrequency (%)
M55
 
1.1%
F17
 
0.4%
B6
 
0.1%
(Missing)4765
98.4%

Category Frequency Plot

2022-11-23T19:35:54.672297image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

CHILD18
Categorical

MISSING

Distinct3
Distinct (%)2.3%
Missing4711
Missing (%)97.3%
Memory size38.0 KiB
M
71 
F
48 
B
13 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowM
2nd rowM
3rd rowF
4th rowM
5th rowM

Common Values

ValueCountFrequency (%)
M71
 
1.5%
F48
 
1.0%
B13
 
0.3%
(Missing)4711
97.3%

Category Frequency Plot

2022-11-23T19:35:54.725285image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

NUMCHLD
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)1.1%
Missing4278
Missing (%)88.3%
Infinite0
Infinite (%)0.0%
Mean1.472566372
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:35:54.768534image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7589008228
Coefficient of variation (CV)0.5153593328
Kurtosis5.129499939
Mean1.472566372
Median Absolute Deviation (MAD)0
Skewness1.998353875
Sum832
Variance0.5759304588
MonotonicityNot monotonic
2022-11-23T19:35:54.817286image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1365
 
7.5%
2152
 
3.1%
334
 
0.7%
410
 
0.2%
53
 
0.1%
61
 
< 0.1%
(Missing)4278
88.3%
ValueCountFrequency (%)
1365
7.5%
2152
3.1%
334
 
0.7%
410
 
0.2%
53
 
0.1%
ValueCountFrequency (%)
61
 
< 0.1%
53
 
0.1%
410
 
0.2%
334
 
0.7%
2152
3.1%

INCOME
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)0.2%
Missing1103
Missing (%)22.8%
Infinite0
Infinite (%)0.0%
Mean4.036631016
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:35:54.864647image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.842993538
Coefficient of variation (CV)0.4565672539
Kurtosis-1.068530824
Mean4.036631016
Median Absolute Deviation (MAD)1
Skewness-0.05406738108
Sum15097
Variance3.396625181
MonotonicityNot monotonic
2022-11-23T19:35:54.976224image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5812
16.8%
4640
13.2%
2632
13.0%
6431
 
8.9%
7426
 
8.8%
3423
 
8.7%
1376
 
7.8%
(Missing)1103
22.8%
ValueCountFrequency (%)
1376
7.8%
2632
13.0%
3423
8.7%
4640
13.2%
5812
16.8%
ValueCountFrequency (%)
7426
8.8%
6431
8.9%
5812
16.8%
4640
13.2%
3423
8.7%

GENDER
Categorical

MISSING

Distinct5
Distinct (%)0.1%
Missing162
Missing (%)3.3%
Memory size38.0 KiB
F
2609 
M
1962 
U
 
80
J
 
29
A
 
1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowF
2nd rowM
3rd rowF
4th rowF
5th rowM

Common Values

ValueCountFrequency (%)
F2609
53.9%
M1962
40.5%
U80
 
1.7%
J29
 
0.6%
A1
 
< 0.1%
(Missing)162
 
3.3%

Category Frequency Plot

2022-11-23T19:35:55.035490image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

WEALTH1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct10
Distinct (%)0.4%
Missing2235
Missing (%)46.1%
Infinite0
Infinite (%)0.0%
Mean5.478144172
Minimum0
Maximum9
Zeros111
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:35:55.081959image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median6
Q38
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.717398673
Coefficient of variation (CV)0.4960436579
Kurtosis-0.9939696629
Mean5.478144172
Median Absolute Deviation (MAD)2
Skewness-0.3840689853
Sum14287
Variance7.38425555
MonotonicityNot monotonic
2022-11-23T19:35:55.128896image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
9423
 
8.7%
8350
 
7.2%
7330
 
6.8%
6323
 
6.7%
5254
 
5.2%
4237
 
4.9%
3216
 
4.5%
2202
 
4.2%
1162
 
3.3%
0111
 
2.3%
(Missing)2235
46.1%
ValueCountFrequency (%)
0111
2.3%
1162
3.3%
2202
4.2%
3216
4.5%
4237
4.9%
ValueCountFrequency (%)
9423
8.7%
8350
7.2%
7330
6.8%
6323
6.7%
5254
5.2%

HIT
Real number (ℝ≥0)

ZEROS

Distinct51
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.570514144
Minimum0
Maximum240
Zeros2753
Zeros (%)56.8%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:35:55.190066image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile19
Maximum240
Range240
Interquartile range (IQR)4

Descriptive statistics

Standard deviation9.55987965
Coefficient of variation (CV)2.677451836
Kurtosis309.7740284
Mean3.570514144
Median Absolute Deviation (MAD)0
Skewness13.5105816
Sum17292
Variance91.39129893
MonotonicityNot monotonic
2022-11-23T19:35:55.263346image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02753
56.8%
1412
 
8.5%
2307
 
6.3%
3159
 
3.3%
4132
 
2.7%
5129
 
2.7%
699
 
2.0%
789
 
1.8%
874
 
1.5%
971
 
1.5%
Other values (41)618
 
12.8%
ValueCountFrequency (%)
02753
56.8%
1412
 
8.5%
2307
 
6.3%
3159
 
3.3%
4132
 
2.7%
ValueCountFrequency (%)
2404
0.1%
611
 
< 0.1%
591
 
< 0.1%
531
 
< 0.1%
492
< 0.1%

MBCRAFT
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)0.2%
Missing2615
Missing (%)54.0%
Infinite0
Infinite (%)0.0%
Mean0.1786355476
Minimum0
Maximum4
Zeros1950
Zeros (%)40.3%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:35:55.322910image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5271706264
Coefficient of variation (CV)2.951095869
Kurtosis12.43672943
Mean0.1786355476
Median Absolute Deviation (MAD)0
Skewness3.385617156
Sum398
Variance0.2779088694
MonotonicityNot monotonic
2022-11-23T19:35:55.371418image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
01950
40.3%
1181
 
3.7%
277
 
1.6%
317
 
0.4%
43
 
0.1%
(Missing)2615
54.0%
ValueCountFrequency (%)
01950
40.3%
1181
 
3.7%
277
 
1.6%
317
 
0.4%
43
 
0.1%
ValueCountFrequency (%)
43
 
0.1%
317
 
0.4%
277
 
1.6%
1181
 
3.7%
01950
40.3%

MBGARDEN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct3
Distinct (%)0.1%
Missing2615
Missing (%)54.0%
Infinite0
Infinite (%)0.0%
Mean0.05834829443
Minimum0
Maximum2
Zeros2110
Zeros (%)43.6%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:35:55.424182image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2564084095
Coefficient of variation (CV)4.394445664
Kurtosis23.44576999
Mean0.05834829443
Median Absolute Deviation (MAD)0
Skewness4.690386518
Sum130
Variance0.06574527244
MonotonicityNot monotonic
2022-11-23T19:35:55.471836image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
02110
43.6%
1106
 
2.2%
212
 
0.2%
(Missing)2615
54.0%
ValueCountFrequency (%)
02110
43.6%
1106
 
2.2%
212
 
0.2%
ValueCountFrequency (%)
212
 
0.2%
1106
 
2.2%
02110
43.6%

MBBOOKS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct10
Distinct (%)0.4%
Missing2615
Missing (%)54.0%
Infinite0
Infinite (%)0.0%
Mean1.123877917
Minimum0
Maximum9
Zeros1113
Zeros (%)23.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:35:55.526265image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.665548004
Coefficient of variation (CV)1.481965237
Kurtosis5.137398105
Mean1.123877917
Median Absolute Deviation (MAD)1
Skewness2.130685925
Sum2504
Variance2.774050155
MonotonicityNot monotonic
2022-11-23T19:35:55.571290image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
01113
23.0%
1532
 
11.0%
2250
 
5.2%
3138
 
2.8%
476
 
1.6%
543
 
0.9%
634
 
0.7%
716
 
0.3%
915
 
0.3%
811
 
0.2%
(Missing)2615
54.0%
ValueCountFrequency (%)
01113
23.0%
1532
11.0%
2250
 
5.2%
3138
 
2.8%
476
 
1.6%
ValueCountFrequency (%)
915
 
0.3%
811
 
0.2%
716
 
0.3%
634
0.7%
543
0.9%

MBCOLECT
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)0.2%
Missing2616
Missing (%)54.0%
Infinite0
Infinite (%)0.0%
Mean0.06017063314
Minimum0
Maximum3
Zeros2116
Zeros (%)43.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:35:55.616808image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.279533316
Coefficient of variation (CV)4.645676826
Kurtosis29.56865765
Mean0.06017063314
Median Absolute Deviation (MAD)0
Skewness5.189991741
Sum134
Variance0.07813887473
MonotonicityNot monotonic
2022-11-23T19:35:55.661409image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
02116
43.7%
189
 
1.8%
221
 
0.4%
31
 
< 0.1%
(Missing)2616
54.0%
ValueCountFrequency (%)
02116
43.7%
189
 
1.8%
221
 
0.4%
31
 
< 0.1%
ValueCountFrequency (%)
31
 
< 0.1%
221
 
0.4%
189
 
1.8%
02116
43.7%

MAGFAML
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)0.3%
Missing2615
Missing (%)54.0%
Infinite0
Infinite (%)0.0%
Mean0.4649910233
Minimum0
Maximum6
Zeros1539
Zeros (%)31.8%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:35:55.711227image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.830564888
Coefficient of variation (CV)1.786195531
Kurtosis5.597564057
Mean0.4649910233
Median Absolute Deviation (MAD)0
Skewness2.17515596
Sum1036
Variance0.6898380331
MonotonicityNot monotonic
2022-11-23T19:35:55.757051image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
01539
31.8%
1448
 
9.3%
2164
 
3.4%
355
 
1.1%
417
 
0.4%
53
 
0.1%
62
 
< 0.1%
(Missing)2615
54.0%
ValueCountFrequency (%)
01539
31.8%
1448
 
9.3%
2164
 
3.4%
355
 
1.1%
417
 
0.4%
ValueCountFrequency (%)
62
 
< 0.1%
53
 
0.1%
417
 
0.4%
355
 
1.1%
2164
3.4%

MAGFEM
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)0.2%
Missing2615
Missing (%)54.0%
Infinite0
Infinite (%)0.0%
Mean0.1337522442
Minimum0
Maximum3
Zeros1966
Zeros (%)40.6%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:35:55.806057image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3896631542
Coefficient of variation (CV)2.913320495
Kurtosis11.44313446
Mean0.1337522442
Median Absolute Deviation (MAD)0
Skewness3.197942642
Sum298
Variance0.1518373737
MonotonicityNot monotonic
2022-11-23T19:35:55.850620image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
01966
40.6%
1230
 
4.7%
228
 
0.6%
34
 
0.1%
(Missing)2615
54.0%
ValueCountFrequency (%)
01966
40.6%
1230
 
4.7%
228
 
0.6%
34
 
0.1%
ValueCountFrequency (%)
34
 
0.1%
228
 
0.6%
1230
 
4.7%
01966
40.6%

MAGMALE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)0.2%
Missing2615
Missing (%)54.0%
Infinite0
Infinite (%)0.0%
Mean0.07854578097
Minimum0
Maximum3
Zeros2073
Zeros (%)42.8%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:35:55.899524image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3021064265
Coefficient of variation (CV)3.84624639
Kurtosis19.49900727
Mean0.07854578097
Median Absolute Deviation (MAD)0
Skewness4.205846215
Sum175
Variance0.09126829292
MonotonicityNot monotonic
2022-11-23T19:35:55.943956image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
02073
42.8%
1136
 
2.8%
218
 
0.4%
31
 
< 0.1%
(Missing)2615
54.0%
ValueCountFrequency (%)
02073
42.8%
1136
 
2.8%
218
 
0.4%
31
 
< 0.1%
ValueCountFrequency (%)
31
 
< 0.1%
218
 
0.4%
1136
 
2.8%
02073
42.8%

PUBGARDN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)0.3%
Missing2615
Missing (%)54.0%
Infinite0
Infinite (%)0.0%
Mean0.1503590664
Minimum0
Maximum5
Zeros2000
Zeros (%)41.3%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:35:55.992413image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.513241682
Coefficient of variation (CV)3.413440201
Kurtosis22.01102446
Mean0.1503590664
Median Absolute Deviation (MAD)0
Skewness4.31767587
Sum335
Variance0.2634170241
MonotonicityNot monotonic
2022-11-23T19:35:56.108125image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
02000
41.3%
1155
 
3.2%
248
 
1.0%
317
 
0.4%
47
 
0.1%
51
 
< 0.1%
(Missing)2615
54.0%
ValueCountFrequency (%)
02000
41.3%
1155
 
3.2%
248
 
1.0%
317
 
0.4%
47
 
0.1%
ValueCountFrequency (%)
51
 
< 0.1%
47
 
0.1%
317
 
0.4%
248
 
1.0%
1155
3.2%

PUBCULIN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)0.2%
Missing2615
Missing (%)54.0%
Infinite0
Infinite (%)0.0%
Mean0.1467684022
Minimum0
Maximum4
Zeros1966
Zeros (%)40.6%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:35:56.156937image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4470161175
Coefficient of variation (CV)3.045724495
Kurtosis17.51058831
Mean0.1467684022
Median Absolute Deviation (MAD)0
Skewness3.763673306
Sum327
Variance0.1998234093
MonotonicityNot monotonic
2022-11-23T19:35:56.205118image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
01966
40.6%
1212
 
4.4%
238
 
0.8%
39
 
0.2%
43
 
0.1%
(Missing)2615
54.0%
ValueCountFrequency (%)
01966
40.6%
1212
 
4.4%
238
 
0.8%
39
 
0.2%
43
 
0.1%
ValueCountFrequency (%)
43
 
0.1%
39
 
0.2%
238
 
0.8%
1212
 
4.4%
01966
40.6%

PUBHLTH
Real number (ℝ≥0)

MISSING
ZEROS

Distinct10
Distinct (%)0.4%
Missing2615
Missing (%)54.0%
Infinite0
Infinite (%)0.0%
Mean0.7710951526
Minimum0
Maximum9
Zeros1389
Zeros (%)28.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:35:56.259764image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3.65
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.32964853
Coefficient of variation (CV)1.724363751
Kurtosis6.112131129
Mean0.7710951526
Median Absolute Deviation (MAD)0
Skewness2.306961715
Sum1718
Variance1.767965212
MonotonicityNot monotonic
2022-11-23T19:35:56.305948image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
01389
28.7%
1425
 
8.8%
2178
 
3.7%
3124
 
2.6%
448
 
1.0%
531
 
0.6%
621
 
0.4%
86
 
0.1%
75
 
0.1%
91
 
< 0.1%
(Missing)2615
54.0%
ValueCountFrequency (%)
01389
28.7%
1425
 
8.8%
2178
 
3.7%
3124
 
2.6%
448
 
1.0%
ValueCountFrequency (%)
91
 
< 0.1%
86
 
0.1%
75
 
0.1%
621
0.4%
531
0.6%

PUBDOITY
Real number (ℝ≥0)

MISSING
ZEROS

Distinct9
Distinct (%)0.4%
Missing2615
Missing (%)54.0%
Infinite0
Infinite (%)0.0%
Mean0.2257630162
Minimum0
Maximum8
Zeros1919
Zeros (%)39.6%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:35:56.355079image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7000677377
Coefficient of variation (CV)3.100896461
Kurtosis27.96634258
Mean0.2257630162
Median Absolute Deviation (MAD)0
Skewness4.600675651
Sum503
Variance0.4900948374
MonotonicityNot monotonic
2022-11-23T19:35:56.405044image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
01919
39.6%
1199
 
4.1%
268
 
1.4%
319
 
0.4%
412
 
0.2%
56
 
0.1%
63
 
0.1%
71
 
< 0.1%
81
 
< 0.1%
(Missing)2615
54.0%
ValueCountFrequency (%)
01919
39.6%
1199
 
4.1%
268
 
1.4%
319
 
0.4%
412
 
0.2%
ValueCountFrequency (%)
81
 
< 0.1%
71
 
< 0.1%
63
 
0.1%
56
0.1%
412
0.2%

PUBNEWFN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct9
Distinct (%)0.4%
Missing2615
Missing (%)54.0%
Infinite0
Infinite (%)0.0%
Mean0.3693895871
Minimum0
Maximum9
Zeros1759
Zeros (%)36.3%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:35:56.459226image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9057498239
Coefficient of variation (CV)2.452017749
Kurtosis19.73673934
Mean0.3693895871
Median Absolute Deviation (MAD)0
Skewness3.727115501
Sum823
Variance0.8203827435
MonotonicityNot monotonic
2022-11-23T19:35:56.504911image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
01759
36.3%
1269
 
5.6%
2117
 
2.4%
348
 
1.0%
418
 
0.4%
59
 
0.2%
63
 
0.1%
93
 
0.1%
72
 
< 0.1%
(Missing)2615
54.0%
ValueCountFrequency (%)
01759
36.3%
1269
 
5.6%
2117
 
2.4%
348
 
1.0%
418
 
0.4%
ValueCountFrequency (%)
93
 
0.1%
72
 
< 0.1%
63
 
0.1%
59
0.2%
418
0.4%

PUBPHOTO
Real number (ℝ≥0)

MISSING
ZEROS

Distinct3
Distinct (%)0.1%
Missing2615
Missing (%)54.0%
Infinite0
Infinite (%)0.0%
Mean0.006732495512
Minimum0
Maximum2
Zeros2214
Zeros (%)45.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:35:56.552078image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08711050991
Coefficient of variation (CV)12.93881441
Kurtosis219.3695309
Mean0.006732495512
Median Absolute Deviation (MAD)0
Skewness14.0457996
Sum15
Variance0.007588240937
MonotonicityNot monotonic
2022-11-23T19:35:56.597226image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
02214
45.7%
113
 
0.3%
21
 
< 0.1%
(Missing)2615
54.0%
ValueCountFrequency (%)
02214
45.7%
113
 
0.3%
21
 
< 0.1%
ValueCountFrequency (%)
21
 
< 0.1%
113
 
0.3%
02214
45.7%

PUBOPP
Real number (ℝ≥0)

MISSING
ZEROS

Distinct10
Distinct (%)0.4%
Missing2615
Missing (%)54.0%
Infinite0
Infinite (%)0.0%
Mean0.2387791741
Minimum0
Maximum9
Zeros1963
Zeros (%)40.5%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:35:56.649448image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8997753248
Coefficient of variation (CV)3.768231999
Kurtosis42.89435757
Mean0.2387791741
Median Absolute Deviation (MAD)0
Skewness5.920574278
Sum532
Variance0.8095956351
MonotonicityNot monotonic
2022-11-23T19:35:56.696387image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
01963
40.5%
1164
 
3.4%
238
 
0.8%
328
 
0.6%
413
 
0.3%
96
 
0.1%
65
 
0.1%
74
 
0.1%
54
 
0.1%
83
 
0.1%
(Missing)2615
54.0%
ValueCountFrequency (%)
01963
40.5%
1164
 
3.4%
238
 
0.8%
328
 
0.6%
413
 
0.3%
ValueCountFrequency (%)
96
0.1%
83
0.1%
74
0.1%
65
0.1%
54
0.1%

DATASRCE
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)0.1%
Missing1103
Missing (%)22.8%
Infinite0
Infinite (%)0.0%
Mean2.499465241
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:35:56.744607image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6693134224
Coefficient of variation (CV)0.2677826487
Kurtosis-0.2241404001
Mean2.499465241
Median Absolute Deviation (MAD)0
Skewness-0.9886774512
Sum9348
Variance0.4479804575
MonotonicityNot monotonic
2022-11-23T19:35:56.790068image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
32238
46.2%
21132
23.4%
1370
 
7.6%
(Missing)1103
22.8%
ValueCountFrequency (%)
1370
 
7.6%
21132
23.4%
32238
46.2%
ValueCountFrequency (%)
32238
46.2%
21132
23.4%
1370
 
7.6%

MALEMILI
Real number (ℝ≥0)

ZEROS

Distinct45
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9979351642
Minimum0
Maximum96
Zeros3747
Zeros (%)77.4%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:35:56.853574image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum96
Range96
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.578562445
Coefficient of variation (CV)4.588035987
Kurtosis180.3116356
Mean0.9979351642
Median Absolute Deviation (MAD)0
Skewness11.61144829
Sum4833
Variance20.96323407
MonotonicityNot monotonic
2022-11-23T19:35:56.920893image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
03747
77.4%
1477
 
9.8%
2204
 
4.2%
3110
 
2.3%
471
 
1.5%
551
 
1.1%
630
 
0.6%
722
 
0.5%
819
 
0.4%
914
 
0.3%
Other values (35)98
 
2.0%
ValueCountFrequency (%)
03747
77.4%
1477
 
9.8%
2204
 
4.2%
3110
 
2.3%
471
 
1.5%
ValueCountFrequency (%)
961
< 0.1%
931
< 0.1%
872
< 0.1%
821
< 0.1%
641
< 0.1%

MALEVET
Real number (ℝ≥0)

ZEROS

Distinct76
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.74829651
Minimum0
Maximum79
Zeros185
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:35:56.991192image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q125
median31
Q338
95-th percentile49
Maximum79
Range79
Interquartile range (IQR)13

Descriptive statistics

Standard deviation11.55591058
Coefficient of variation (CV)0.3758227898
Kurtosis1.187645733
Mean30.74829651
Median Absolute Deviation (MAD)6
Skewness-0.2589040648
Sum148914
Variance133.5390693
MonotonicityNot monotonic
2022-11-23T19:35:57.062133image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32239
 
4.9%
31214
 
4.4%
30214
 
4.4%
29210
 
4.3%
33199
 
4.1%
28185
 
3.8%
0185
 
3.8%
27181
 
3.7%
34180
 
3.7%
25175
 
3.6%
Other values (66)2861
59.1%
ValueCountFrequency (%)
0185
3.8%
11
 
< 0.1%
23
 
0.1%
32
 
< 0.1%
44
 
0.1%
ValueCountFrequency (%)
791
 
< 0.1%
781
 
< 0.1%
763
0.1%
731
 
< 0.1%
711
 
< 0.1%

VIETVETS
Real number (ℝ≥0)

ZEROS

Distinct84
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.33863308
Minimum0
Maximum99
Zeros301
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:35:57.137656image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120
median29
Q338
95-th percentile55
Maximum99
Range99
Interquartile range (IQR)18

Descriptive statistics

Standard deviation15.17408714
Coefficient of variation (CV)0.5172049803
Kurtosis0.6469778258
Mean29.33863308
Median Absolute Deviation (MAD)9
Skewness0.2913404832
Sum142087
Variance230.2529206
MonotonicityNot monotonic
2022-11-23T19:35:57.277505image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0301
 
6.2%
28169
 
3.5%
27163
 
3.4%
26158
 
3.3%
31152
 
3.1%
32151
 
3.1%
29151
 
3.1%
33137
 
2.8%
30132
 
2.7%
23131
 
2.7%
Other values (74)3198
66.0%
ValueCountFrequency (%)
0301
6.2%
23
 
0.1%
39
 
0.2%
414
 
0.3%
515
 
0.3%
ValueCountFrequency (%)
998
0.2%
891
 
< 0.1%
821
 
< 0.1%
813
 
0.1%
801
 
< 0.1%

WWIIVETS
Real number (ℝ≥0)

ZEROS

Distinct96
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.163535
Minimum0
Maximum99
Zeros270
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:35:57.350806image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q121
median32
Q344
95-th percentile65
Maximum99
Range99
Interquartile range (IQR)23

Descriptive statistics

Standard deviation18.22207131
Coefficient of variation (CV)0.5494610665
Kurtosis0.4896374735
Mean33.163535
Median Absolute Deviation (MAD)11
Skewness0.4683183886
Sum160611
Variance332.0438828
MonotonicityNot monotonic
2022-11-23T19:35:57.422070image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0270
 
5.6%
33140
 
2.9%
36128
 
2.6%
32127
 
2.6%
31124
 
2.6%
35120
 
2.5%
20114
 
2.4%
38114
 
2.4%
27113
 
2.3%
24110
 
2.3%
Other values (86)3483
71.9%
ValueCountFrequency (%)
0270
5.6%
13
 
0.1%
26
 
0.1%
37
 
0.1%
412
 
0.2%
ValueCountFrequency (%)
9921
0.4%
981
 
< 0.1%
962
 
< 0.1%
942
 
< 0.1%
911
 
< 0.1%

LOCALGOV
Real number (ℝ≥0)

ZEROS

Distinct33
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.707412761
Minimum0
Maximum48
Zeros330
Zeros (%)6.8%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:35:57.487272image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median6
Q39
95-th percentile14
Maximum48
Range48
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.296295915
Coefficient of variation (CV)0.6405295258
Kurtosis4.964724902
Mean6.707412761
Median Absolute Deviation (MAD)2
Skewness1.311316039
Sum32484
Variance18.45815859
MonotonicityNot monotonic
2022-11-23T19:35:57.549766image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
5595
12.3%
6550
11.4%
7515
10.6%
4454
9.4%
8425
8.8%
3338
7.0%
9336
6.9%
0330
 
6.8%
10248
 
5.1%
2218
 
4.5%
Other values (23)834
17.2%
ValueCountFrequency (%)
0330
6.8%
1103
 
2.1%
2218
4.5%
3338
7.0%
4454
9.4%
ValueCountFrequency (%)
481
< 0.1%
391
< 0.1%
362
< 0.1%
341
< 0.1%
301
< 0.1%

STATEGOV
Real number (ℝ≥0)

ZEROS

Distinct45
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.563700186
Minimum0
Maximum50
Zeros737
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:35:57.614870image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q36
95-th percentile14
Maximum50
Range50
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.129892684
Coefficient of variation (CV)1.12406435
Kurtosis12.34567276
Mean4.563700186
Median Absolute Deviation (MAD)2
Skewness2.814894838
Sum22102
Variance26.31579895
MonotonicityNot monotonic
2022-11-23T19:35:57.685208image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0737
15.2%
2718
14.8%
3641
13.2%
1523
10.8%
4506
10.4%
5358
7.4%
6296
6.1%
7217
 
4.5%
8153
 
3.2%
9136
 
2.8%
Other values (35)558
11.5%
ValueCountFrequency (%)
0737
15.2%
1523
10.8%
2718
14.8%
3641
13.2%
4506
10.4%
ValueCountFrequency (%)
501
< 0.1%
481
< 0.1%
471
< 0.1%
441
< 0.1%
411
< 0.1%

FEDGOV
Real number (ℝ≥0)

ZEROS

Distinct41
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.984513731
Minimum0
Maximum60
Zeros1062
Zeros (%)21.9%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:35:57.753305image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile10
Maximum60
Range60
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.916092223
Coefficient of variation (CV)1.312137445
Kurtosis26.94652302
Mean2.984513731
Median Absolute Deviation (MAD)1
Skewness3.921823941
Sum14454
Variance15.3357783
MonotonicityNot monotonic
2022-11-23T19:35:57.818509image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
01062
21.9%
2918
19.0%
1906
18.7%
3619
12.8%
4384
 
7.9%
5258
 
5.3%
6154
 
3.2%
7138
 
2.8%
8102
 
2.1%
956
 
1.2%
Other values (31)246
 
5.1%
ValueCountFrequency (%)
01062
21.9%
1906
18.7%
2918
19.0%
3619
12.8%
4384
 
7.9%
ValueCountFrequency (%)
601
< 0.1%
411
< 0.1%
391
< 0.1%
381
< 0.1%
372
< 0.1%

SOLP3
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)30.0%
Missing4833
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean0.5
Minimum0
Maximum2
Zeros7
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:35:57.876830image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.75
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation0.8498365856
Coefficient of variation (CV)1.699673171
Kurtosis0.1065088757
Mean0.5
Median Absolute Deviation (MAD)0
Skewness1.357727089
Sum5
Variance0.7222222222
MonotonicityNot monotonic
2022-11-23T19:35:57.923684image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
07
 
0.1%
22
 
< 0.1%
11
 
< 0.1%
(Missing)4833
99.8%
ValueCountFrequency (%)
07
0.1%
11
 
< 0.1%
22
 
< 0.1%
ValueCountFrequency (%)
22
 
< 0.1%
11
 
< 0.1%
07
0.1%

SOLIH
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)1.4%
Missing4475
Missing (%)92.4%
Infinite0
Infinite (%)0.0%
Mean11.10869565
Minimum0
Maximum12
Zeros16
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:35:57.973139image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q112
median12
Q312
95-th percentile12
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.022013771
Coefficient of variation (CV)0.2720403786
Kurtosis8.171587604
Mean11.10869565
Median Absolute Deviation (MAD)0
Skewness-3.156479683
Sum4088
Variance9.132567231
MonotonicityNot monotonic
2022-11-23T19:35:58.022366image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
12338
 
7.0%
016
 
0.3%
26
 
0.1%
14
 
0.1%
44
 
0.1%
(Missing)4475
92.4%
ValueCountFrequency (%)
016
 
0.3%
14
 
0.1%
26
 
0.1%
44
 
0.1%
12338
7.0%
ValueCountFrequency (%)
12338
7.0%
44
 
0.1%
26
 
0.1%
14
 
0.1%
016
 
0.3%

MAJOR
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)6.7%
Missing4828
Missing (%)99.7%
Memory size38.0 KiB
X
15 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowX
2nd rowX
3rd rowX
4th rowX
5th rowX

Common Values

ValueCountFrequency (%)
X15
 
0.3%
(Missing)4828
99.7%

Category Frequency Plot

2022-11-23T19:35:58.077670image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

WEALTH2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct10
Distinct (%)0.4%
Missing2079
Missing (%)42.9%
Infinite0
Infinite (%)0.0%
Mean5.169681621
Minimum0
Maximum9
Zeros161
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:35:58.118196image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median5
Q38
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.793108429
Coefficient of variation (CV)0.5402863529
Kurtosis-1.122201532
Mean5.169681621
Median Absolute Deviation (MAD)2
Skewness-0.2632708381
Sum14289
Variance7.801454694
MonotonicityNot monotonic
2022-11-23T19:35:58.165163image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
9381
 
7.9%
8359
 
7.4%
7327
 
6.8%
6311
 
6.4%
5273
 
5.6%
3272
 
5.6%
4250
 
5.2%
2222
 
4.6%
1208
 
4.3%
0161
 
3.3%
(Missing)2079
42.9%
ValueCountFrequency (%)
0161
3.3%
1208
4.3%
2222
4.6%
3272
5.6%
4250
5.2%
ValueCountFrequency (%)
9381
7.9%
8359
7.4%
7327
6.8%
6311
6.4%
5273
5.6%

GEOCODE
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)0.8%
Missing3937
Missing (%)81.3%
Infinite0
Infinite (%)0.0%
Mean6.690949227
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:35:58.211454image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q312
95-th percentile14
Maximum14
Range13
Interquartile range (IQR)9

Descriptive statistics

Standard deviation4.801871848
Coefficient of variation (CV)0.7176667592
Kurtosis-1.569653441
Mean6.690949227
Median Absolute Deviation (MAD)2
Skewness0.4354003142
Sum6062
Variance23.05797324
MonotonicityNot monotonic
2022-11-23T19:35:58.327903image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
12218
 
4.5%
3205
 
4.2%
14121
 
2.5%
5102
 
2.1%
494
 
1.9%
285
 
1.8%
181
 
1.7%
(Missing)3937
81.3%
ValueCountFrequency (%)
181
 
1.7%
285
1.8%
3205
4.2%
494
1.9%
5102
2.1%
ValueCountFrequency (%)
14121
2.5%
12218
4.5%
5102
2.1%
494
1.9%
3205
4.2%

COLLECT1
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.3%
Missing4546
Missing (%)93.9%
Memory size38.0 KiB
Y
297 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowY
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
Y297
 
6.1%
(Missing)4546
93.9%

Category Frequency Plot

2022-11-23T19:35:58.381167image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

VETERANS
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.2%
Missing4263
Missing (%)88.0%
Memory size38.0 KiB
Y
580 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowY
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
Y580
 
12.0%
(Missing)4263
88.0%

Category Frequency Plot

2022-11-23T19:35:58.422418image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

BIBLE
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.2%
Missing4359
Missing (%)90.0%
Memory size38.0 KiB
Y
484 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowY
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
Y484
 
10.0%
(Missing)4359
90.0%

Category Frequency Plot

2022-11-23T19:35:58.462493image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

CATLG
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.2%
Missing4412
Missing (%)91.1%
Memory size38.0 KiB
Y
431 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowY
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
Y431
 
8.9%
(Missing)4412
91.1%

Category Frequency Plot

2022-11-23T19:35:58.506367image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

HOMEE
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)2.0%
Missing4793
Missing (%)99.0%
Memory size38.0 KiB
Y
50 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowY
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
Y50
 
1.0%
(Missing)4793
99.0%

Category Frequency Plot

2022-11-23T19:35:58.549950image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

PETS
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.1%
Missing4051
Missing (%)83.6%
Memory size38.0 KiB
Y
792 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowY
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
Y792
 
16.4%
(Missing)4051
83.6%

Category Frequency Plot

2022-11-23T19:35:58.593317image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

CDPLAY
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.2%
Missing4196
Missing (%)86.6%
Memory size38.0 KiB
Y
647 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowY
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
Y647
 
13.4%
(Missing)4196
86.6%

Category Frequency Plot

2022-11-23T19:35:58.637923image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

STEREO
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.2%
Missing4189
Missing (%)86.5%
Memory size38.0 KiB
Y
654 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowY
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
Y654
 
13.5%
(Missing)4189
86.5%

Category Frequency Plot

2022-11-23T19:35:58.681324image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

PCOWNERS
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.2%
Missing4313
Missing (%)89.1%
Memory size38.0 KiB
Y
530 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowY
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
Y530
 
10.9%
(Missing)4313
89.1%

Category Frequency Plot

2022-11-23T19:35:58.723664image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

PHOTO
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.4%
Missing4573
Missing (%)94.4%
Memory size38.0 KiB
Y
270 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowY
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
Y270
 
5.6%
(Missing)4573
94.4%

Category Frequency Plot

2022-11-23T19:35:58.765112image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

CRAFTS
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.2%
Missing4387
Missing (%)90.6%
Memory size38.0 KiB
Y
456 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowY
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
Y456
 
9.4%
(Missing)4387
90.6%

Category Frequency Plot

2022-11-23T19:35:58.805328image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

FISHER
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.3%
Missing4476
Missing (%)92.4%
Memory size38.0 KiB
Y
367 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowY
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
Y367
 
7.6%
(Missing)4476
92.4%

Category Frequency Plot

2022-11-23T19:35:58.848087image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

GARDENIN
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.1%
Missing4080
Missing (%)84.2%
Memory size38.0 KiB
Y
763 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowY
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
Y763
 
15.8%
(Missing)4080
84.2%

Category Frequency Plot

2022-11-23T19:35:58.893642image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

BOATS
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.9%
Missing4730
Missing (%)97.7%
Memory size38.0 KiB
Y
113 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowY
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
Y113
 
2.3%
(Missing)4730
97.7%

Category Frequency Plot

2022-11-23T19:35:58.936810image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

WALKER
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.2%
Missing4232
Missing (%)87.4%
Memory size38.0 KiB
Y
611 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowY
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
Y611
 
12.6%
(Missing)4232
87.4%

Category Frequency Plot

2022-11-23T19:35:58.979194image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

KIDSTUFF
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)1.2%
Missing4761
Missing (%)98.3%
Memory size38.0 KiB
Y
82 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowY
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
Y82
 
1.7%
(Missing)4761
98.3%

Category Frequency Plot

2022-11-23T19:35:59.025063image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

CARDS
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)1.6%
Missing4782
Missing (%)98.7%
Memory size38.0 KiB
Y
61 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowY
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
Y61
 
1.3%
(Missing)4782
98.7%

Category Frequency Plot

2022-11-23T19:35:59.070223image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

PLATES
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)2.9%
Missing4808
Missing (%)99.3%
Memory size38.0 KiB
Y
35 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowY
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
Y35
 
0.7%
(Missing)4808
99.3%

Category Frequency Plot

2022-11-23T19:35:59.114234image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

LIFESRC
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)0.1%
Missing2612
Missing (%)53.9%
Infinite0
Infinite (%)0.0%
Mean2.057373375
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:35:59.152842image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7151957956
Coefficient of variation (CV)0.3476256688
Kurtosis-1.042779404
Mean2.057373375
Median Absolute Deviation (MAD)1
Skewness-0.08435100069
Sum4590
Variance0.511505026
MonotonicityNot monotonic
2022-11-23T19:35:59.198910image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
21083
22.4%
3638
 
13.2%
1510
 
10.5%
(Missing)2612
53.9%
ValueCountFrequency (%)
1510
10.5%
21083
22.4%
3638
13.2%
ValueCountFrequency (%)
3638
13.2%
21083
22.4%
1510
10.5%

PEPSTRFL
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing1958
Missing (%)40.4%
Memory size38.0 KiB
X
2885 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowX
2nd rowX
3rd rowX
4th rowX
5th rowX

Common Values

ValueCountFrequency (%)
X2885
59.6%
(Missing)1958
40.4%

Category Frequency Plot

2022-11-23T19:35:59.254019image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

POP901
Real number (ℝ≥0)

Distinct2893
Distinct (%)59.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3151.211852
Minimum0
Maximum61211
Zeros32
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:35:59.305036image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile519
Q1987
median1595
Q33129
95-th percentile9471
Maximum61211
Range61211
Interquartile range (IQR)2142

Descriptive statistics

Standard deviation5308.539545
Coefficient of variation (CV)1.684602557
Kurtosis37.2895845
Mean3151.211852
Median Absolute Deviation (MAD)765
Skewness5.403599763
Sum15261319
Variance28180592.1
MonotonicityNot monotonic
2022-11-23T19:35:59.374878image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
032
 
0.7%
8347
 
0.1%
12857
 
0.1%
9877
 
0.1%
9577
 
0.1%
15976
 
0.1%
12106
 
0.1%
6446
 
0.1%
7496
 
0.1%
10186
 
0.1%
Other values (2883)4753
98.1%
ValueCountFrequency (%)
032
0.7%
11
 
< 0.1%
41
 
< 0.1%
71
 
< 0.1%
111
 
< 0.1%
ValueCountFrequency (%)
612111
< 0.1%
611821
< 0.1%
604571
< 0.1%
599331
< 0.1%
572871
< 0.1%

POP902
Real number (ℝ≥0)

Distinct1634
Distinct (%)33.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean843.1614702
Minimum0
Maximum15029
Zeros34
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:35:59.517457image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile132.1
Q1265
median427
Q3853
95-th percentile2606.8
Maximum15029
Range15029
Interquartile range (IQR)588

Descriptive statistics

Standard deviation1361.339678
Coefficient of variation (CV)1.614565805
Kurtosis31.18819861
Mean843.1614702
Median Absolute Deviation (MAD)204
Skewness4.964991589
Sum4083431
Variance1853245.718
MonotonicityNot monotonic
2022-11-23T19:35:59.588708image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
034
 
0.7%
22518
 
0.4%
24818
 
0.4%
28417
 
0.4%
22615
 
0.3%
33415
 
0.3%
41815
 
0.3%
25814
 
0.3%
30414
 
0.3%
23914
 
0.3%
Other values (1624)4669
96.4%
ValueCountFrequency (%)
034
0.7%
11
 
< 0.1%
32
 
< 0.1%
143
 
0.1%
212
 
< 0.1%
ValueCountFrequency (%)
150291
< 0.1%
148431
< 0.1%
146291
< 0.1%
129571
< 0.1%
128271
< 0.1%

POP903
Real number (ℝ≥0)

Distinct1927
Distinct (%)39.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1199.790419
Minimum0
Maximum27040
Zeros34
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:35:59.663945image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile204
Q1381
median600
Q31181.5
95-th percentile3553.7
Maximum27040
Range27040
Interquartile range (IQR)800.5

Descriptive statistics

Standard deviation2043.615079
Coefficient of variation (CV)1.70331005
Kurtosis37.18276485
Mean1199.790419
Median Absolute Deviation (MAD)282
Skewness5.430713838
Sum5810585
Variance4176362.59
MonotonicityNot monotonic
2022-11-23T19:35:59.735384image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
034
 
0.7%
41114
 
0.3%
32813
 
0.3%
41912
 
0.2%
30812
 
0.2%
35012
 
0.2%
47312
 
0.2%
38111
 
0.2%
48511
 
0.2%
43411
 
0.2%
Other values (1917)4701
97.1%
ValueCountFrequency (%)
034
0.7%
11
 
< 0.1%
41
 
< 0.1%
231
 
< 0.1%
261
 
< 0.1%
ValueCountFrequency (%)
270401
< 0.1%
236591
< 0.1%
212231
< 0.1%
210281
< 0.1%
205141
< 0.1%

POP90C1
Real number (ℝ≥0)

ZEROS

Distinct96
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.79909147
Minimum0
Maximum99
Zeros1739
Zeros (%)35.9%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:35:59.807298image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median99
Q399
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)99

Descriptive statistics

Standard deviation47.11162782
Coefficient of variation (CV)0.7878318326
Kurtosis-1.771028863
Mean59.79909147
Median Absolute Deviation (MAD)0
Skewness-0.4368112947
Sum289607
Variance2219.505476
MonotonicityNot monotonic
2022-11-23T19:35:59.878467image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
992578
53.2%
01739
35.9%
9837
 
0.8%
9722
 
0.5%
9619
 
0.4%
9419
 
0.4%
9017
 
0.4%
8817
 
0.4%
9317
 
0.4%
9514
 
0.3%
Other values (86)364
 
7.5%
ValueCountFrequency (%)
01739
35.9%
111
 
0.2%
25
 
0.1%
38
 
0.2%
47
 
0.1%
ValueCountFrequency (%)
992578
53.2%
9837
 
0.8%
9722
 
0.5%
9619
 
0.4%
9514
 
0.3%

POP90C2
Real number (ℝ≥0)

ZEROS

Distinct98
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.44703696
Minimum0
Maximum99
Zeros3898
Zeros (%)80.5%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:35:59.951000image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation31.21851794
Coefficient of variation (CV)2.321590848
Kurtosis2.550900439
Mean13.44703696
Median Absolute Deviation (MAD)0
Skewness2.071873764
Sum65124
Variance974.5958622
MonotonicityNot monotonic
2022-11-23T19:36:00.024177image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
03898
80.5%
99289
 
6.0%
9831
 
0.6%
129
 
0.6%
9625
 
0.5%
224
 
0.5%
9418
 
0.4%
9718
 
0.4%
416
 
0.3%
9315
 
0.3%
Other values (88)480
 
9.9%
ValueCountFrequency (%)
03898
80.5%
129
 
0.6%
224
 
0.5%
39
 
0.2%
416
 
0.3%
ValueCountFrequency (%)
99289
6.0%
9831
 
0.6%
9718
 
0.4%
9625
 
0.5%
9510
 
0.2%

POP90C3
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.28350196
Minimum0
Maximum99
Zeros2856
Zeros (%)59.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:00.106101image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q347
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)47

Descriptive statistics

Standard deviation39.56698124
Coefficient of variation (CV)1.564932789
Kurtosis-0.50018236
Mean25.28350196
Median Absolute Deviation (MAD)0
Skewness1.151024346
Sum122448
Variance1565.546004
MonotonicityNot monotonic
2022-11-23T19:36:00.185569image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02856
59.0%
99836
 
17.3%
267
 
1.4%
153
 
1.1%
444
 
0.9%
340
 
0.8%
636
 
0.7%
732
 
0.7%
826
 
0.5%
1425
 
0.5%
Other values (90)828
 
17.1%
ValueCountFrequency (%)
02856
59.0%
153
 
1.1%
267
 
1.4%
340
 
0.8%
444
 
0.9%
ValueCountFrequency (%)
99836
17.3%
9820
 
0.4%
9718
 
0.4%
9615
 
0.3%
9511
 
0.2%

POP90C4
Real number (ℝ≥0)

Distinct51
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.32892835
Minimum0
Maximum99
Zeros32
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:00.267694image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile44
Q147
median49
Q350
95-th percentile52
Maximum99
Range99
Interquartile range (IQR)3

Descriptive statistics

Standard deviation5.232611043
Coefficient of variation (CV)0.1082707857
Kurtosis52.68261956
Mean48.32892835
Median Absolute Deviation (MAD)1
Skewness-4.433173671
Sum234057
Variance27.38021833
MonotonicityNot monotonic
2022-11-23T19:36:00.341400image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
49919
19.0%
50874
18.0%
48743
15.3%
47518
10.7%
51485
10.0%
46299
 
6.2%
45229
 
4.7%
52214
 
4.4%
44110
 
2.3%
5393
 
1.9%
Other values (41)359
 
7.4%
ValueCountFrequency (%)
032
0.7%
241
 
< 0.1%
281
 
< 0.1%
292
 
< 0.1%
302
 
< 0.1%
ValueCountFrequency (%)
992
< 0.1%
891
< 0.1%
861
< 0.1%
841
< 0.1%
811
< 0.1%

POP90C5
Real number (ℝ≥0)

Distinct50
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.01073715
Minimum0
Maximum76
Zeros34
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:00.414912image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile47
Q150
median51
Q353
95-th percentile56
Maximum76
Range76
Interquartile range (IQR)3

Descriptive statistics

Standard deviation5.403645901
Coefficient of variation (CV)0.1059315392
Kurtosis56.11259666
Mean51.01073715
Median Absolute Deviation (MAD)1
Skewness-6.137020926
Sum247045
Variance29.19938903
MonotonicityNot monotonic
2022-11-23T19:36:00.554124image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
51920
19.0%
50873
18.0%
52741
15.3%
53520
10.7%
49485
10.0%
54299
 
6.2%
55229
 
4.7%
48214
 
4.4%
56110
 
2.3%
4793
 
1.9%
Other values (40)359
 
7.4%
ValueCountFrequency (%)
034
0.7%
111
 
< 0.1%
141
 
< 0.1%
161
 
< 0.1%
191
 
< 0.1%
ValueCountFrequency (%)
761
< 0.1%
721
< 0.1%
712
< 0.1%
702
< 0.1%
682
< 0.1%

ETH1
Real number (ℝ≥0)

Distinct97
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.4276275
Minimum0
Maximum99
Zeros43
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:00.630322image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile47
Q184
median94
Q398
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)14

Descriptive statistics

Standard deviation18.94431602
Coefficient of variation (CV)0.2191928272
Kurtosis7.797605325
Mean86.4276275
Median Absolute Deviation (MAD)5
Skewness-2.688842568
Sum418569
Variance358.8871093
MonotonicityNot monotonic
2022-11-23T19:36:00.702273image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99744
15.4%
98468
 
9.7%
97393
 
8.1%
96338
 
7.0%
94258
 
5.3%
95247
 
5.1%
93216
 
4.5%
92150
 
3.1%
90150
 
3.1%
91148
 
3.1%
Other values (87)1731
35.7%
ValueCountFrequency (%)
043
0.9%
116
 
0.3%
25
 
0.1%
33
 
0.1%
47
 
0.1%
ValueCountFrequency (%)
99744
15.4%
98468
9.7%
97393
8.1%
96338
7.0%
95247
 
5.1%

ETH2
Real number (ℝ≥0)

ZEROS

Distinct93
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.093124097
Minimum0
Maximum99
Zeros1633
Zeros (%)33.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:00.775058image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile31
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation14.48589595
Coefficient of variation (CV)2.377416859
Kurtosis20.24260752
Mean6.093124097
Median Absolute Deviation (MAD)1
Skewness4.251693982
Sum29509
Variance209.8411815
MonotonicityNot monotonic
2022-11-23T19:36:00.846218image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01633
33.7%
1983
20.3%
2529
 
10.9%
3290
 
6.0%
4217
 
4.5%
5146
 
3.0%
6109
 
2.3%
788
 
1.8%
868
 
1.4%
1158
 
1.2%
Other values (83)722
14.9%
ValueCountFrequency (%)
01633
33.7%
1983
20.3%
2529
 
10.9%
3290
 
6.0%
4217
 
4.5%
ValueCountFrequency (%)
9920
0.4%
986
 
0.1%
979
0.2%
962
 
< 0.1%
952
 
< 0.1%

ETH3
Real number (ℝ≥0)

ZEROS

Distinct35
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7053479248
Minimum0
Maximum90
Zeros3090
Zeros (%)63.8%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:00.913752image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum90
Range90
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.866884645
Coefficient of variation (CV)4.064497171
Kurtosis423.5559243
Mean0.7053479248
Median Absolute Deviation (MAD)0
Skewness17.72716201
Sum3416
Variance8.219027569
MonotonicityNot monotonic
2022-11-23T19:36:00.972608image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
03090
63.8%
11318
27.2%
2239
 
4.9%
368
 
1.4%
437
 
0.8%
526
 
0.5%
610
 
0.2%
107
 
0.1%
145
 
0.1%
85
 
0.1%
Other values (25)38
 
0.8%
ValueCountFrequency (%)
03090
63.8%
11318
27.2%
2239
 
4.9%
368
 
1.4%
437
 
0.8%
ValueCountFrequency (%)
901
< 0.1%
781
< 0.1%
621
< 0.1%
591
< 0.1%
491
< 0.1%

ETH4
Real number (ℝ≥0)

ZEROS

Distinct63
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.003716705
Minimum0
Maximum90
Zeros1749
Zeros (%)36.1%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:01.039549image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile12
Maximum90
Range90
Interquartile range (IQR)3

Descriptive statistics

Standard deviation6.968565952
Coefficient of variation (CV)2.319981089
Kurtosis48.02560308
Mean3.003716705
Median Absolute Deviation (MAD)1
Skewness6.034835739
Sum14547
Variance48.56091142
MonotonicityNot monotonic
2022-11-23T19:36:01.108013image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01749
36.1%
11186
24.5%
2603
 
12.5%
3295
 
6.1%
4224
 
4.6%
5138
 
2.8%
6106
 
2.2%
872
 
1.5%
769
 
1.4%
954
 
1.1%
Other values (53)347
 
7.2%
ValueCountFrequency (%)
01749
36.1%
11186
24.5%
2603
 
12.5%
3295
 
6.1%
4224
 
4.6%
ValueCountFrequency (%)
901
< 0.1%
871
< 0.1%
831
< 0.1%
801
< 0.1%
791
< 0.1%

ETH5
Real number (ℝ≥0)

ZEROS

Distinct94
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.478628949
Minimum0
Maximum98
Zeros723
Zeros (%)14.9%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:01.179732image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q38
95-th percentile33
Maximum98
Range98
Interquartile range (IQR)7

Descriptive statistics

Standard deviation13.24994477
Coefficient of variation (CV)1.771707737
Kurtosis14.56219644
Mean7.478628949
Median Absolute Deviation (MAD)2
Skewness3.50869321
Sum36219
Variance175.5610364
MonotonicityNot monotonic
2022-11-23T19:36:01.251956image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11115
23.0%
0723
14.9%
2596
12.3%
3356
 
7.4%
4247
 
5.1%
5242
 
5.0%
6198
 
4.1%
7150
 
3.1%
8109
 
2.3%
988
 
1.8%
Other values (84)1019
21.0%
ValueCountFrequency (%)
0723
14.9%
11115
23.0%
2596
12.3%
3356
 
7.4%
4247
 
5.1%
ValueCountFrequency (%)
981
 
< 0.1%
971
 
< 0.1%
942
< 0.1%
933
0.1%
922
< 0.1%

ETH6
Real number (ℝ≥0)

ZEROS

Distinct12
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.217220731
Minimum0
Maximum11
Zeros4078
Zeros (%)84.2%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:01.313287image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6390635883
Coefficient of variation (CV)2.942000911
Kurtosis57.32880173
Mean0.217220731
Median Absolute Deviation (MAD)0
Skewness5.805586763
Sum1052
Variance0.4084022699
MonotonicityNot monotonic
2022-11-23T19:36:01.362831image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
04078
84.2%
1600
 
12.4%
2108
 
2.2%
334
 
0.7%
58
 
0.2%
46
 
0.1%
63
 
0.1%
72
 
< 0.1%
91
 
< 0.1%
101
 
< 0.1%
Other values (2)2
 
< 0.1%
ValueCountFrequency (%)
04078
84.2%
1600
 
12.4%
2108
 
2.2%
334
 
0.7%
46
 
0.1%
ValueCountFrequency (%)
111
< 0.1%
101
< 0.1%
91
< 0.1%
81
< 0.1%
72
< 0.1%

ETH7
Real number (ℝ≥0)

ZEROS

Distinct29
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4460045426
Minimum0
Maximum57
Zeros3890
Zeros (%)80.3%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:01.419186image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum57
Range57
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.366930636
Coefficient of variation (CV)5.306965309
Kurtosis269.7010117
Mean0.4460045426
Median Absolute Deviation (MAD)0
Skewness14.83604762
Sum2160
Variance5.602360634
MonotonicityNot monotonic
2022-11-23T19:36:01.472974image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
03890
80.3%
1650
 
13.4%
2173
 
3.6%
352
 
1.1%
419
 
0.4%
515
 
0.3%
69
 
0.2%
143
 
0.1%
113
 
0.1%
73
 
0.1%
Other values (19)26
 
0.5%
ValueCountFrequency (%)
03890
80.3%
1650
 
13.4%
2173
 
3.6%
352
 
1.1%
419
 
0.4%
ValueCountFrequency (%)
571
< 0.1%
551
< 0.1%
501
< 0.1%
451
< 0.1%
431
< 0.1%

ETH8
Real number (ℝ≥0)

ZEROS

Distinct30
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6120173446
Minimum0
Maximum72
Zeros3668
Zeros (%)75.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:01.601221image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum72
Range72
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.338637121
Coefficient of variation (CV)3.821194189
Kurtosis252.0602008
Mean0.6120173446
Median Absolute Deviation (MAD)0
Skewness12.40376413
Sum2964
Variance5.469223583
MonotonicityNot monotonic
2022-11-23T19:36:01.658781image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
03668
75.7%
1715
 
14.8%
2189
 
3.9%
388
 
1.8%
444
 
0.9%
534
 
0.7%
629
 
0.6%
713
 
0.3%
910
 
0.2%
108
 
0.2%
Other values (20)45
 
0.9%
ValueCountFrequency (%)
03668
75.7%
1715
 
14.8%
2189
 
3.9%
388
 
1.8%
444
 
0.9%
ValueCountFrequency (%)
721
< 0.1%
381
< 0.1%
362
< 0.1%
331
< 0.1%
321
< 0.1%

ETH9
Real number (ℝ≥0)

ZEROS

Distinct29
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5589510634
Minimum0
Maximum42
Zeros3753
Zeros (%)77.5%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:01.721585image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum42
Range42
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.032771545
Coefficient of variation (CV)3.636761209
Kurtosis125.3426079
Mean0.5589510634
Median Absolute Deviation (MAD)0
Skewness9.407242077
Sum2707
Variance4.132160155
MonotonicityNot monotonic
2022-11-23T19:36:01.777197image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
03753
77.5%
1635
 
13.1%
2197
 
4.1%
395
 
2.0%
445
 
0.9%
524
 
0.5%
623
 
0.5%
712
 
0.2%
811
 
0.2%
129
 
0.2%
Other values (19)39
 
0.8%
ValueCountFrequency (%)
03753
77.5%
1635
 
13.1%
2197
 
4.1%
395
 
2.0%
445
 
0.9%
ValueCountFrequency (%)
421
 
< 0.1%
371
 
< 0.1%
321
 
< 0.1%
311
 
< 0.1%
293
0.1%

ETH10
Real number (ℝ≥0)

ZEROS

Distinct16
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2888705348
Minimum0
Maximum46
Zeros4081
Zeros (%)84.3%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:01.829544image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum46
Range46
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.223384141
Coefficient of variation (CV)4.235060326
Kurtosis467.6223033
Mean0.2888705348
Median Absolute Deviation (MAD)0
Skewness16.21996292
Sum1399
Variance1.496668757
MonotonicityNot monotonic
2022-11-23T19:36:01.878944image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
04081
84.3%
1545
 
11.3%
2112
 
2.3%
332
 
0.7%
419
 
0.4%
514
 
0.3%
611
 
0.2%
78
 
0.2%
88
 
0.2%
104
 
0.1%
Other values (6)9
 
0.2%
ValueCountFrequency (%)
04081
84.3%
1545
 
11.3%
2112
 
2.3%
332
 
0.7%
419
 
0.4%
ValueCountFrequency (%)
461
< 0.1%
241
< 0.1%
182
< 0.1%
171
< 0.1%
121
< 0.1%

ETH11
Real number (ℝ≥0)

ZEROS

Distinct16
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2000825934
Minimum0
Maximum22
Zeros4293
Zeros (%)88.6%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:01.930211image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum22
Range22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8690749077
Coefficient of variation (CV)4.343580782
Kurtosis174.0982905
Mean0.2000825934
Median Absolute Deviation (MAD)0
Skewness10.50646645
Sum969
Variance0.7552911952
MonotonicityNot monotonic
2022-11-23T19:36:01.978328image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
04293
88.6%
1399
 
8.2%
266
 
1.4%
332
 
0.7%
420
 
0.4%
59
 
0.2%
67
 
0.1%
76
 
0.1%
112
 
< 0.1%
102
 
< 0.1%
Other values (6)7
 
0.1%
ValueCountFrequency (%)
04293
88.6%
1399
 
8.2%
266
 
1.4%
332
 
0.7%
420
 
0.4%
ValueCountFrequency (%)
221
< 0.1%
191
< 0.1%
131
< 0.1%
121
< 0.1%
112
< 0.1%

ETH12
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct17
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07825727855
Minimum0
Maximum51
Zeros4781
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:02.028005image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum51
Range51
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.292540516
Coefficient of variation (CV)16.51655335
Kurtosis820.701056
Mean0.07825727855
Median Absolute Deviation (MAD)0
Skewness25.9922486
Sum379
Variance1.670660985
MonotonicityNot monotonic
2022-11-23T19:36:02.081361image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
04781
98.7%
138
 
0.8%
73
 
0.1%
63
 
0.1%
42
 
< 0.1%
52
 
< 0.1%
182
 
< 0.1%
82
 
< 0.1%
242
 
< 0.1%
511
 
< 0.1%
Other values (7)7
 
0.1%
ValueCountFrequency (%)
04781
98.7%
138
 
0.8%
42
 
< 0.1%
52
 
< 0.1%
63
 
0.1%
ValueCountFrequency (%)
511
< 0.1%
421
< 0.1%
242
< 0.1%
221
< 0.1%
182
< 0.1%

ETH13
Real number (ℝ≥0)

ZEROS

Distinct87
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.09622135
Minimum0
Maximum92
Zeros1609
Zeros (%)33.2%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:02.145029image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile25
Maximum92
Range92
Interquartile range (IQR)5

Descriptive statistics

Standard deviation10.83160467
Coefficient of variation (CV)2.125418801
Kurtosis21.09377004
Mean5.09622135
Median Absolute Deviation (MAD)1
Skewness4.154829988
Sum24681
Variance117.3236598
MonotonicityNot monotonic
2022-11-23T19:36:02.213957image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01609
33.2%
11059
21.9%
2436
 
9.0%
3286
 
5.9%
4236
 
4.9%
5148
 
3.1%
6125
 
2.6%
7100
 
2.1%
872
 
1.5%
1166
 
1.4%
Other values (77)706
14.6%
ValueCountFrequency (%)
01609
33.2%
11059
21.9%
2436
 
9.0%
3286
 
5.9%
4236
 
4.9%
ValueCountFrequency (%)
923
0.1%
891
 
< 0.1%
881
 
< 0.1%
871
 
< 0.1%
861
 
< 0.1%

ETH14
Real number (ℝ≥0)

ZEROS

Distinct18
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3024984514
Minimum0
Maximum37
Zeros4050
Zeros (%)83.6%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:02.273641image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum37
Range37
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.222114804
Coefficient of variation (CV)4.040069623
Kurtosis269.4052992
Mean0.3024984514
Median Absolute Deviation (MAD)0
Skewness12.78037576
Sum1465
Variance1.493564595
MonotonicityNot monotonic
2022-11-23T19:36:02.324284image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
04050
83.6%
1577
 
11.9%
290
 
1.9%
351
 
1.1%
520
 
0.4%
418
 
0.4%
613
 
0.3%
85
 
0.1%
133
 
0.1%
103
 
0.1%
Other values (8)13
 
0.3%
ValueCountFrequency (%)
04050
83.6%
1577
 
11.9%
290
 
1.9%
351
 
1.1%
418
 
0.4%
ValueCountFrequency (%)
371
 
< 0.1%
281
 
< 0.1%
211
 
< 0.1%
162
< 0.1%
133
0.1%

ETH15
Real number (ℝ≥0)

ZEROS

Distinct31
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3353293413
Minimum0
Maximum76
Zeros4459
Zeros (%)92.1%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:02.383678image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum76
Range76
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.294865555
Coefficient of variation (CV)9.825759779
Kurtosis322.0933604
Mean0.3353293413
Median Absolute Deviation (MAD)0
Skewness17.09040295
Sum1624
Variance10.85613902
MonotonicityNot monotonic
2022-11-23T19:36:02.442124image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
04459
92.1%
1259
 
5.3%
249
 
1.0%
414
 
0.3%
313
 
0.3%
57
 
0.1%
85
 
0.1%
104
 
0.1%
644
 
0.1%
73
 
0.1%
Other values (21)26
 
0.5%
ValueCountFrequency (%)
04459
92.1%
1259
 
5.3%
249
 
1.0%
313
 
0.3%
414
 
0.3%
ValueCountFrequency (%)
761
 
< 0.1%
741
 
< 0.1%
651
 
< 0.1%
644
0.1%
591
 
< 0.1%

ETH16
Real number (ℝ≥0)

ZEROS

Distinct41
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.566590956
Minimum0
Maximum57
Zeros2017
Zeros (%)41.6%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:02.507471image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile6
Maximum57
Range57
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.282426466
Coefficient of variation (CV)2.095267085
Kurtosis68.46740492
Mean1.566590956
Median Absolute Deviation (MAD)1
Skewness6.820481137
Sum7587
Variance10.77432351
MonotonicityNot monotonic
2022-11-23T19:36:02.570318image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
02017
41.6%
11400
28.9%
2599
 
12.4%
3355
 
7.3%
4153
 
3.2%
565
 
1.3%
661
 
1.3%
747
 
1.0%
823
 
0.5%
921
 
0.4%
Other values (31)102
 
2.1%
ValueCountFrequency (%)
02017
41.6%
11400
28.9%
2599
 
12.4%
3355
 
7.3%
4153
 
3.2%
ValueCountFrequency (%)
571
< 0.1%
481
< 0.1%
471
< 0.1%
431
< 0.1%
401
< 0.1%

AGE901
Real number (ℝ≥0)

Distinct64
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.07226925
Minimum0
Maximum79
Zeros32
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:02.711535image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile26
Q130
median34
Q338
95-th percentile50.9
Maximum79
Range79
Interquartile range (IQR)8

Descriptive statistics

Standard deviation8.429711642
Coefficient of variation (CV)0.2403526154
Kurtosis5.92726532
Mean35.07226925
Median Absolute Deviation (MAD)4
Skewness1.210368058
Sum169855
Variance71.06003836
MonotonicityNot monotonic
2022-11-23T19:36:02.784897image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32394
 
8.1%
33387
 
8.0%
34380
 
7.8%
31344
 
7.1%
35328
 
6.8%
30323
 
6.7%
29269
 
5.6%
36263
 
5.4%
37243
 
5.0%
38218
 
4.5%
Other values (54)1694
35.0%
ValueCountFrequency (%)
032
0.7%
81
 
< 0.1%
141
 
< 0.1%
171
 
< 0.1%
181
 
< 0.1%
ValueCountFrequency (%)
791
 
< 0.1%
781
 
< 0.1%
766
0.1%
754
0.1%
746
0.1%

AGE902
Real number (ℝ≥0)

Distinct60
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.3861243
Minimum0
Maximum79
Zeros32
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:02.862453image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile33
Q138
median42
Q345
95-th percentile58
Maximum79
Range79
Interquartile range (IQR)7

Descriptive statistics

Standard deviation8.240347984
Coefficient of variation (CV)0.1944114523
Kurtosis5.730285133
Mean42.3861243
Median Absolute Deviation (MAD)4
Skewness0.08883148027
Sum205276
Variance67.90333489
MonotonicityNot monotonic
2022-11-23T19:36:02.935150image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41388
 
8.0%
42359
 
7.4%
40354
 
7.3%
43352
 
7.3%
39310
 
6.4%
38288
 
5.9%
44287
 
5.9%
37243
 
5.0%
45232
 
4.8%
36215
 
4.4%
Other values (50)1815
37.5%
ValueCountFrequency (%)
032
0.7%
192
 
< 0.1%
201
 
< 0.1%
216
 
0.1%
225
 
0.1%
ValueCountFrequency (%)
792
 
< 0.1%
767
0.1%
754
0.1%
745
0.1%
734
0.1%

AGE903
Real number (ℝ≥0)

Distinct51
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.49803841
Minimum0
Maximum80
Zeros32
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:03.012355image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile36
Q141
median45
Q349
95-th percentile60
Maximum80
Range80
Interquartile range (IQR)8

Descriptive statistics

Standard deviation8.053347676
Coefficient of variation (CV)0.1770042832
Kurtosis6.973871365
Mean45.49803841
Median Absolute Deviation (MAD)4
Skewness-0.3179100677
Sum220347
Variance64.85640879
MonotonicityNot monotonic
2022-11-23T19:36:03.085313image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
43417
 
8.6%
44347
 
7.2%
45316
 
6.5%
42315
 
6.5%
46308
 
6.4%
47278
 
5.7%
41266
 
5.5%
48262
 
5.4%
40250
 
5.2%
39188
 
3.9%
Other values (41)1896
39.1%
ValueCountFrequency (%)
032
0.7%
296
 
0.1%
302
 
< 0.1%
317
 
0.1%
3214
0.3%
ValueCountFrequency (%)
801
 
< 0.1%
791
 
< 0.1%
767
0.1%
754
0.1%
747
0.1%

AGE904
Real number (ℝ≥0)

Distinct60
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.34255627
Minimum0
Maximum76
Zeros32
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:03.161658image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28
Q132
median36
Q339
95-th percentile48
Maximum76
Range76
Interquartile range (IQR)7

Descriptive statistics

Standard deviation7.263363095
Coefficient of variation (CV)0.1998583435
Kurtosis7.173127
Mean36.34255627
Median Absolute Deviation (MAD)4
Skewness0.4924997508
Sum176007
Variance52.75644344
MonotonicityNot monotonic
2022-11-23T19:36:03.232828image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35393
 
8.1%
36372
 
7.7%
37363
 
7.5%
33346
 
7.1%
34345
 
7.1%
38312
 
6.4%
32291
 
6.0%
31268
 
5.5%
39257
 
5.3%
40231
 
4.8%
Other values (50)1665
34.4%
ValueCountFrequency (%)
032
0.7%
131
 
< 0.1%
192
 
< 0.1%
201
 
< 0.1%
212
 
< 0.1%
ValueCountFrequency (%)
762
 
< 0.1%
752
 
< 0.1%
743
0.1%
735
0.1%
725
0.1%

AGE905
Real number (ℝ≥0)

Distinct55
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.04625232
Minimum0
Maximum76
Zeros32
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:03.308688image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile37
Q142
median45
Q348
95-th percentile55
Maximum76
Range76
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.803303002
Coefficient of variation (CV)0.1510292788
Kurtosis12.94658516
Mean45.04625232
Median Absolute Deviation (MAD)3
Skewness-1.264747591
Sum218159
Variance46.28493174
MonotonicityNot monotonic
2022-11-23T19:36:03.379946image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45415
 
8.6%
44411
 
8.5%
46395
 
8.2%
43377
 
7.8%
47348
 
7.2%
42316
 
6.5%
48309
 
6.4%
41282
 
5.8%
49247
 
5.1%
40246
 
5.1%
Other values (45)1497
30.9%
ValueCountFrequency (%)
032
0.7%
221
 
< 0.1%
241
 
< 0.1%
251
 
< 0.1%
261
 
< 0.1%
ValueCountFrequency (%)
762
 
< 0.1%
752
 
< 0.1%
745
0.1%
735
0.1%
724
0.1%

AGE906
Real number (ℝ≥0)

Distinct48
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.16807764
Minimum0
Maximum76
Zeros32
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:03.455208image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile40
Q145
median48
Q351
95-th percentile58
Maximum76
Range76
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.681661958
Coefficient of variation (CV)0.138715562
Kurtosis17.28701673
Mean48.16807764
Median Absolute Deviation (MAD)3
Skewness-1.965382874
Sum233278
Variance44.64460653
MonotonicityNot monotonic
2022-11-23T19:36:03.525460image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
48429
 
8.9%
47413
 
8.5%
49400
 
8.3%
50393
 
8.1%
46373
 
7.7%
51330
 
6.8%
45306
 
6.3%
52264
 
5.5%
44254
 
5.2%
53216
 
4.5%
Other values (38)1465
30.2%
ValueCountFrequency (%)
032
0.7%
301
 
< 0.1%
311
 
< 0.1%
323
 
0.1%
332
 
< 0.1%
ValueCountFrequency (%)
762
 
< 0.1%
752
 
< 0.1%
747
0.1%
735
0.1%
726
0.1%

AGE907
Real number (ℝ≥0)

ZEROS

Distinct51
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.1748916
Minimum0
Maximum71
Zeros60
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:03.600720image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q120
median25
Q329
95-th percentile35
Maximum71
Range71
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.496038701
Coefficient of variation (CV)0.3100753801
Kurtosis1.381232979
Mean24.1748916
Median Absolute Deviation (MAD)4
Skewness-0.6700519617
Sum117079
Variance56.1905962
MonotonicityNot monotonic
2022-11-23T19:36:03.740091image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27347
 
7.2%
26333
 
6.9%
25329
 
6.8%
28287
 
5.9%
29278
 
5.7%
23269
 
5.6%
24257
 
5.3%
30223
 
4.6%
22223
 
4.6%
31206
 
4.3%
Other values (41)2091
43.2%
ValueCountFrequency (%)
060
1.2%
15
 
0.1%
26
 
0.1%
320
 
0.4%
418
 
0.4%
ValueCountFrequency (%)
711
 
< 0.1%
571
 
< 0.1%
511
 
< 0.1%
491
 
< 0.1%
473
0.1%

CHIL1
Real number (ℝ≥0)

ZEROS

Distinct58
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.77699773
Minimum0
Maximum99
Zeros52
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:03.815485image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30
Q136
median39
Q344
95-th percentile52
Maximum99
Range99
Interquartile range (IQR)8

Descriptive statistics

Standard deviation8.108403776
Coefficient of variation (CV)0.2038465505
Kurtosis7.343791952
Mean39.77699773
Median Absolute Deviation (MAD)4
Skewness-0.5411636942
Sum192640
Variance65.7462118
MonotonicityNot monotonic
2022-11-23T19:36:03.887629image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38343
 
7.1%
39333
 
6.9%
36321
 
6.6%
37314
 
6.5%
41301
 
6.2%
40282
 
5.8%
35234
 
4.8%
43231
 
4.8%
42231
 
4.8%
34205
 
4.2%
Other values (48)2048
42.3%
ValueCountFrequency (%)
052
1.1%
172
 
< 0.1%
193
 
0.1%
203
 
0.1%
212
 
< 0.1%
ValueCountFrequency (%)
993
0.1%
762
< 0.1%
752
< 0.1%
721
 
< 0.1%
713
0.1%

CHIL2
Real number (ℝ≥0)

ZEROS

Distinct46
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.38344002
Minimum0
Maximum99
Zeros53
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:03.959797image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30
Q136
median39
Q342
95-th percentile46
Maximum99
Range99
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.19574263
Coefficient of variation (CV)0.1614170754
Kurtosis16.97221691
Mean38.38344002
Median Absolute Deviation (MAD)3
Skewness-2.598180315
Sum185891
Variance38.38722674
MonotonicityNot monotonic
2022-11-23T19:36:04.029246image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
40514
10.6%
41490
10.1%
39476
9.8%
38458
9.5%
42374
 
7.7%
37358
 
7.4%
36314
 
6.5%
43300
 
6.2%
35237
 
4.9%
44196
 
4.0%
Other values (36)1126
23.3%
ValueCountFrequency (%)
053
1.1%
101
 
< 0.1%
121
 
< 0.1%
131
 
< 0.1%
151
 
< 0.1%
ValueCountFrequency (%)
991
< 0.1%
691
< 0.1%
672
< 0.1%
571
< 0.1%
541
< 0.1%

CHIL3
Real number (ℝ≥0)

ZEROS

Distinct45
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.90212678
Minimum0
Maximum99
Zeros56
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:04.099545image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14
Q118
median21
Q324
95-th percentile29
Maximum99
Range99
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.517416532
Coefficient of variation (CV)0.2639643607
Kurtosis24.37088239
Mean20.90212678
Median Absolute Deviation (MAD)3
Skewness1.59245601
Sum101229
Variance30.44188519
MonotonicityNot monotonic
2022-11-23T19:36:04.168460image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
21481
9.9%
20473
 
9.8%
22459
 
9.5%
19427
 
8.8%
23412
 
8.5%
24340
 
7.0%
18335
 
6.9%
17287
 
5.9%
25249
 
5.1%
16197
 
4.1%
Other values (35)1183
24.4%
ValueCountFrequency (%)
056
1.2%
55
 
0.1%
76
 
0.1%
85
 
0.1%
95
 
0.1%
ValueCountFrequency (%)
992
< 0.1%
751
 
< 0.1%
674
0.1%
511
 
< 0.1%
501
 
< 0.1%

AGEC1
Real number (ℝ≥0)

ZEROS

Distinct62
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.87218666
Minimum0
Maximum91
Zeros56
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:04.239100image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q19
median11
Q314
95-th percentile20
Maximum91
Range91
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.927656313
Coefficient of variation (CV)0.4992893459
Kurtosis29.09430839
Mean11.87218666
Median Absolute Deviation (MAD)2
Skewness3.682814846
Sum57497
Variance35.13710936
MonotonicityNot monotonic
2022-11-23T19:36:04.307849image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11554
11.4%
10517
10.7%
12495
10.2%
13440
9.1%
9436
9.0%
8391
 
8.1%
14328
 
6.8%
7263
 
5.4%
15226
 
4.7%
6178
 
3.7%
Other values (52)1015
21.0%
ValueCountFrequency (%)
056
1.2%
110
 
0.2%
219
 
0.4%
331
0.6%
439
0.8%
ValueCountFrequency (%)
911
< 0.1%
751
< 0.1%
731
< 0.1%
721
< 0.1%
681
< 0.1%

AGEC2
Real number (ℝ≥0)

Distinct58
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.9157547
Minimum0
Maximum99
Zeros45
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:04.378710image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q117
median21
Q326
95-th percentile35
Maximum99
Range99
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.861928455
Coefficient of variation (CV)0.3587340962
Kurtosis3.054648402
Mean21.9157547
Median Absolute Deviation (MAD)4
Skewness0.55716695
Sum106138
Variance61.80991902
MonotonicityNot monotonic
2022-11-23T19:36:04.450609image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20345
 
7.1%
21319
 
6.6%
19313
 
6.5%
22304
 
6.3%
23277
 
5.7%
18263
 
5.4%
25228
 
4.7%
24226
 
4.7%
17221
 
4.6%
27198
 
4.1%
Other values (48)2149
44.4%
ValueCountFrequency (%)
045
0.9%
113
 
0.3%
25
 
0.1%
34
 
0.1%
410
 
0.2%
ValueCountFrequency (%)
991
< 0.1%
641
< 0.1%
621
< 0.1%
581
< 0.1%
541
< 0.1%

AGEC3
Real number (ℝ≥0)

Distinct49
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.76089201
Minimum0
Maximum99
Zeros37
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:04.523198image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11
Q117
median20
Q324
95-th percentile32
Maximum99
Range99
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.346837376
Coefficient of variation (CV)0.3057112081
Kurtosis6.235551896
Mean20.76089201
Median Absolute Deviation (MAD)3
Skewness0.4878502436
Sum100545
Variance40.28234468
MonotonicityNot monotonic
2022-11-23T19:36:04.593373image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
19461
 
9.5%
20437
 
9.0%
21405
 
8.4%
18333
 
6.9%
22323
 
6.7%
23311
 
6.4%
17290
 
6.0%
24244
 
5.0%
16239
 
4.9%
25198
 
4.1%
Other values (39)1602
33.1%
ValueCountFrequency (%)
037
0.8%
119
0.4%
24
 
0.1%
39
 
0.2%
43
 
0.1%
ValueCountFrequency (%)
991
< 0.1%
501
< 0.1%
482
< 0.1%
452
< 0.1%
441
< 0.1%

AGEC4
Real number (ℝ≥0)

Distinct33
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.1358662
Minimum0
Maximum34
Zeros35
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:04.658383image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q111
median14
Q316
95-th percentile21
Maximum34
Range34
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.304656807
Coefficient of variation (CV)0.3045202004
Kurtosis1.28407742
Mean14.1358662
Median Absolute Deviation (MAD)2
Skewness0.1346897026
Sum68460
Variance18.53007023
MonotonicityNot monotonic
2022-11-23T19:36:04.788608image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
14536
11.1%
15518
10.7%
13499
10.3%
16454
9.4%
12434
9.0%
11404
 
8.3%
17313
 
6.5%
10263
 
5.4%
9213
 
4.4%
18199
 
4.1%
Other values (23)1010
20.9%
ValueCountFrequency (%)
035
0.7%
111
 
0.2%
217
0.4%
38
 
0.2%
414
 
0.3%
ValueCountFrequency (%)
341
 
< 0.1%
321
 
< 0.1%
303
 
0.1%
293
 
0.1%
2814
0.3%

AGEC5
Real number (ℝ≥0)

Distinct34
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.99855461
Minimum0
Maximum39
Zeros39
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:04.854250image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q19
median12
Q314
95-th percentile19
Maximum39
Range39
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.097051405
Coefficient of variation (CV)0.3414620791
Kurtosis1.468545644
Mean11.99855461
Median Absolute Deviation (MAD)2
Skewness0.262337998
Sum58109
Variance16.78583021
MonotonicityNot monotonic
2022-11-23T19:36:04.917422image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
12581
12.0%
13514
10.6%
14487
10.1%
11482
10.0%
10406
8.4%
9334
 
6.9%
15298
 
6.2%
8285
 
5.9%
16266
 
5.5%
7220
 
4.5%
Other values (24)970
20.0%
ValueCountFrequency (%)
039
0.8%
16
 
0.1%
211
 
0.2%
324
 
0.5%
462
1.3%
ValueCountFrequency (%)
391
< 0.1%
361
< 0.1%
341
< 0.1%
321
< 0.1%
311
< 0.1%

AGEC6
Real number (ℝ≥0)

Distinct50
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.86495974
Minimum0
Maximum52
Zeros44
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:04.988394image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q17
median10
Q314
95-th percentile22
Maximum52
Range52
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.194654723
Coefficient of variation (CV)0.5701498095
Kurtosis5.577428641
Mean10.86495974
Median Absolute Deviation (MAD)3
Skewness1.661054561
Sum52619
Variance38.37374714
MonotonicityNot monotonic
2022-11-23T19:36:05.062413image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10415
 
8.6%
8394
 
8.1%
9366
 
7.6%
11363
 
7.5%
12331
 
6.8%
7328
 
6.8%
6307
 
6.3%
13297
 
6.1%
14253
 
5.2%
5241
 
5.0%
Other values (40)1548
32.0%
ValueCountFrequency (%)
044
 
0.9%
132
 
0.7%
298
2.0%
3150
3.1%
4235
4.9%
ValueCountFrequency (%)
523
0.1%
501
 
< 0.1%
481
 
< 0.1%
473
0.1%
461
 
< 0.1%

AGEC7
Real number (ℝ≥0)

ZEROS

Distinct59
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.807763783
Minimum0
Maximum66
Zeros73
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:05.135836image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median6
Q310
95-th percentile20
Maximum66
Range66
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.771969283
Coefficient of variation (CV)0.8673378794
Kurtosis13.19302548
Mean7.807763783
Median Absolute Deviation (MAD)3
Skewness2.785794018
Sum37813
Variance45.85956796
MonotonicityNot monotonic
2022-11-23T19:36:05.206400image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3468
9.7%
6446
 
9.2%
4428
 
8.8%
2427
 
8.8%
5389
 
8.0%
7366
 
7.6%
8341
 
7.0%
9291
 
6.0%
1289
 
6.0%
10232
 
4.8%
Other values (49)1166
24.1%
ValueCountFrequency (%)
073
 
1.5%
1289
6.0%
2427
8.8%
3468
9.7%
4428
8.8%
ValueCountFrequency (%)
661
 
< 0.1%
631
 
< 0.1%
611
 
< 0.1%
601
 
< 0.1%
585
0.1%

CHILC1
Real number (ℝ≥0)

ZEROS

Distinct43
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.25356184
Minimum0
Maximum99
Zeros55
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:05.279891image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q113
median16
Q319
95-th percentile24
Maximum99
Range99
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.173180649
Coefficient of variation (CV)0.3182798146
Kurtosis31.4645664
Mean16.25356184
Median Absolute Deviation (MAD)3
Skewness2.484665788
Sum78716
Variance26.76179803
MonotonicityNot monotonic
2022-11-23T19:36:05.348962image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
15550
11.4%
16510
10.5%
14505
10.4%
17421
 
8.7%
13418
 
8.6%
18351
 
7.2%
12321
 
6.6%
19289
 
6.0%
20219
 
4.5%
11195
 
4.0%
Other values (33)1064
22.0%
ValueCountFrequency (%)
055
1.1%
42
 
< 0.1%
53
 
0.1%
65
 
0.1%
712
 
0.2%
ValueCountFrequency (%)
992
< 0.1%
601
< 0.1%
561
< 0.1%
521
< 0.1%
512
< 0.1%

CHILC2
Real number (ℝ≥0)

ZEROS

Distinct29
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.22733843
Minimum0
Maximum33
Zeros60
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:05.413826image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11
Q115
median16
Q318
95-th percentile21
Maximum33
Range33
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.486170838
Coefficient of variation (CV)0.2148331874
Kurtosis5.41861951
Mean16.22733843
Median Absolute Deviation (MAD)2
Skewness-0.9152527976
Sum78589
Variance12.15338711
MonotonicityNot monotonic
2022-11-23T19:36:05.471630image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
16758
15.7%
15663
13.7%
17629
13.0%
18527
10.9%
14478
9.9%
19414
8.5%
13317
6.5%
20240
 
5.0%
21196
 
4.0%
12156
 
3.2%
Other values (19)465
9.6%
ValueCountFrequency (%)
060
1.2%
41
 
< 0.1%
52
 
< 0.1%
63
 
0.1%
76
 
0.1%
ValueCountFrequency (%)
335
0.1%
311
 
< 0.1%
293
 
0.1%
282
 
< 0.1%
2711
0.2%

CHILC3
Real number (ℝ≥0)

ZEROS

Distinct47
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.68408012
Minimum0
Maximum67
Zeros53
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:05.539346image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile25
Q130
median32
Q334
95-th percentile38
Maximum67
Range67
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.194813656
Coefficient of variation (CV)0.1639565876
Kurtosis15.28697728
Mean31.68408012
Median Absolute Deviation (MAD)2
Skewness-2.728497302
Sum153446
Variance26.98608893
MonotonicityNot monotonic
2022-11-23T19:36:05.607496image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
33629
13.0%
32622
12.8%
34521
10.8%
31491
10.1%
35426
8.8%
30416
8.6%
29306
 
6.3%
36300
 
6.2%
28191
 
3.9%
37164
 
3.4%
Other values (37)777
16.0%
ValueCountFrequency (%)
053
1.1%
31
 
< 0.1%
61
 
< 0.1%
71
 
< 0.1%
84
 
0.1%
ValueCountFrequency (%)
671
 
< 0.1%
601
 
< 0.1%
501
 
< 0.1%
491
 
< 0.1%
473
0.1%

CHILC4
Real number (ℝ≥0)

ZEROS

Distinct38
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.73033244
Minimum0
Maximum50
Zeros58
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:05.676854image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13
Q118
median20
Q322
95-th percentile26
Maximum50
Range50
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.391888579
Coefficient of variation (CV)0.2225957719
Kurtosis5.243437892
Mean19.73033244
Median Absolute Deviation (MAD)2
Skewness-0.977861632
Sum95554
Variance19.28868529
MonotonicityNot monotonic
2022-11-23T19:36:05.742228image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
21563
11.6%
22549
11.3%
20549
11.3%
19488
10.1%
18440
9.1%
23387
8.0%
17315
 
6.5%
16277
 
5.7%
24248
 
5.1%
25181
 
3.7%
Other values (28)846
17.5%
ValueCountFrequency (%)
058
1.2%
21
 
< 0.1%
31
 
< 0.1%
46
 
0.1%
53
 
0.1%
ValueCountFrequency (%)
502
< 0.1%
411
< 0.1%
361
< 0.1%
351
< 0.1%
342
< 0.1%

CHILC5
Real number (ℝ≥0)

ZEROS

Distinct58
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.16126368
Minimum0
Maximum99
Zeros49
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:05.882323image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q113
median15
Q317
95-th percentile21
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.224672449
Coefficient of variation (CV)0.3446066607
Kurtosis42.93209061
Mean15.16126368
Median Absolute Deviation (MAD)2
Skewness4.084093397
Sum73426
Variance27.2972022
MonotonicityNot monotonic
2022-11-23T19:36:05.953801image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15618
12.8%
16616
12.7%
14601
12.4%
13495
10.2%
12411
8.5%
17391
8.1%
18304
 
6.3%
11278
 
5.7%
19209
 
4.3%
10159
 
3.3%
Other values (48)761
15.7%
ValueCountFrequency (%)
049
1.0%
13
 
0.1%
32
 
< 0.1%
41
 
< 0.1%
55
 
0.1%
ValueCountFrequency (%)
991
< 0.1%
821
< 0.1%
742
< 0.1%
681
< 0.1%
671
< 0.1%

HHAGE1
Real number (ℝ≥0)

Distinct93
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.15961181
Minimum0
Maximum98
Zeros36
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:06.026514image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q116
median24
Q332
95-th percentile48
Maximum98
Range98
Interquartile range (IQR)16

Descriptive statistics

Standard deviation13.4610643
Coefficient of variation (CV)0.5350267086
Kurtosis3.104160703
Mean25.15961181
Median Absolute Deviation (MAD)8
Skewness1.185421386
Sum121848
Variance181.200252
MonotonicityNot monotonic
2022-11-23T19:36:06.098855image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26185
 
3.8%
21179
 
3.7%
17165
 
3.4%
28157
 
3.2%
27156
 
3.2%
24155
 
3.2%
29154
 
3.2%
23154
 
3.2%
25154
 
3.2%
18147
 
3.0%
Other values (83)3237
66.8%
ValueCountFrequency (%)
036
0.7%
110
 
0.2%
212
 
0.2%
320
0.4%
438
0.8%
ValueCountFrequency (%)
981
 
< 0.1%
952
< 0.1%
941
 
< 0.1%
934
0.1%
922
< 0.1%

HHAGE2
Real number (ℝ≥0)

ZEROS

Distinct60
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.532727648
Minimum0
Maximum82
Zeros96
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:06.172634image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median8
Q313
95-th percentile22.9
Maximum82
Range82
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.525937014
Coefficient of variation (CV)0.7894841111
Kurtosis8.799272027
Mean9.532727648
Median Absolute Deviation (MAD)4
Skewness2.138386488
Sum46167
Variance56.63972794
MonotonicityNot monotonic
2022-11-23T19:36:06.241591image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5348
 
7.2%
4329
 
6.8%
6321
 
6.6%
9315
 
6.5%
8311
 
6.4%
3310
 
6.4%
2283
 
5.8%
7282
 
5.8%
11261
 
5.4%
10256
 
5.3%
Other values (50)1827
37.7%
ValueCountFrequency (%)
096
 
2.0%
1248
5.1%
2283
5.8%
3310
6.4%
4329
6.8%
ValueCountFrequency (%)
821
< 0.1%
701
< 0.1%
661
< 0.1%
631
< 0.1%
622
< 0.1%

HHAGE3
Real number (ℝ≥0)

Distinct92
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.85979765
Minimum0
Maximum97
Zeros44
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:06.314261image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q114
median22
Q330
95-th percentile46
Maximum97
Range97
Interquartile range (IQR)16

Descriptive statistics

Standard deviation13.32043833
Coefficient of variation (CV)0.582701498
Kurtosis3.385174057
Mean22.85979765
Median Absolute Deviation (MAD)8
Skewness1.264838148
Sum110710
Variance177.4340774
MonotonicityNot monotonic
2022-11-23T19:36:06.386953image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26183
 
3.8%
25170
 
3.5%
23164
 
3.4%
16163
 
3.4%
21160
 
3.3%
22157
 
3.2%
24156
 
3.2%
27152
 
3.1%
20151
 
3.1%
19149
 
3.1%
Other values (82)3238
66.9%
ValueCountFrequency (%)
044
0.9%
114
 
0.3%
231
0.6%
359
1.2%
462
1.3%
ValueCountFrequency (%)
971
 
< 0.1%
941
 
< 0.1%
932
< 0.1%
924
0.1%
911
 
< 0.1%

HHN1
Real number (ℝ≥0)

Distinct85
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.88767293
Minimum0
Maximum94
Zeros36
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:06.460273image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q115
median21
Q328
95-th percentile44
Maximum94
Range94
Interquartile range (IQR)13

Descriptive statistics

Standard deviation11.7281694
Coefficient of variation (CV)0.5124229726
Kurtosis3.227302039
Mean22.88767293
Median Absolute Deviation (MAD)7
Skewness1.308909768
Sum110845
Variance137.5499575
MonotonicityNot monotonic
2022-11-23T19:36:06.530935image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19228
 
4.7%
17215
 
4.4%
21214
 
4.4%
22208
 
4.3%
24188
 
3.9%
23185
 
3.8%
16182
 
3.8%
20181
 
3.7%
15176
 
3.6%
26169
 
3.5%
Other values (75)2897
59.8%
ValueCountFrequency (%)
036
0.7%
11
 
< 0.1%
25
 
0.1%
311
 
0.2%
411
 
0.2%
ValueCountFrequency (%)
941
< 0.1%
921
< 0.1%
901
< 0.1%
881
< 0.1%
851
< 0.1%

HHN2
Real number (ℝ≥0)

Distinct73
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.23910799
Minimum0
Maximum85
Zeros36
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:06.603917image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile22
Q130
median34
Q338
95-th percentile48
Maximum85
Range85
Interquartile range (IQR)8

Descriptive statistics

Standard deviation8.254085553
Coefficient of variation (CV)0.2410718631
Kurtosis3.945614081
Mean34.23910799
Median Absolute Deviation (MAD)4
Skewness0.1958821728
Sum165820
Variance68.12992832
MonotonicityNot monotonic
2022-11-23T19:36:06.673109image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34361
 
7.5%
35331
 
6.8%
32292
 
6.0%
33291
 
6.0%
36286
 
5.9%
31266
 
5.5%
29262
 
5.4%
37261
 
5.4%
30230
 
4.7%
38217
 
4.5%
Other values (63)2046
42.2%
ValueCountFrequency (%)
036
0.7%
51
 
< 0.1%
61
 
< 0.1%
71
 
< 0.1%
81
 
< 0.1%
ValueCountFrequency (%)
851
< 0.1%
821
< 0.1%
762
< 0.1%
741
< 0.1%
731
< 0.1%

HHN3
Real number (ℝ≥0)

Distinct85
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.18418336
Minimum0
Maximum99
Zeros37
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:06.745325image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16
Q134
median43
Q352
95-th percentile65
Maximum99
Range99
Interquartile range (IQR)18

Descriptive statistics

Standard deviation14.52660472
Coefficient of variation (CV)0.3443614066
Kurtosis0.3673534564
Mean42.18418336
Median Absolute Deviation (MAD)9
Skewness-0.340616583
Sum204298
Variance211.0222446
MonotonicityNot monotonic
2022-11-23T19:36:06.886950image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46157
 
3.2%
45154
 
3.2%
40154
 
3.2%
47152
 
3.1%
42144
 
3.0%
44143
 
3.0%
43141
 
2.9%
41137
 
2.8%
39133
 
2.7%
37133
 
2.7%
Other values (75)3395
70.1%
ValueCountFrequency (%)
037
0.8%
16
 
0.1%
212
 
0.2%
313
 
0.3%
43
 
0.1%
ValueCountFrequency (%)
992
< 0.1%
911
< 0.1%
882
< 0.1%
862
< 0.1%
811
< 0.1%

HHN4
Real number (ℝ≥0)

ZEROS

Distinct73
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.22857733
Minimum0
Maximum99
Zeros64
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:06.959857image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q118
median25
Q332
95-th percentile44
Maximum99
Range99
Interquartile range (IQR)14

Descriptive statistics

Standard deviation11.04343463
Coefficient of variation (CV)0.437735132
Kurtosis1.069363363
Mean25.22857733
Median Absolute Deviation (MAD)7
Skewness0.3162122554
Sum122182
Variance121.9574483
MonotonicityNot monotonic
2022-11-23T19:36:07.032756image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23219
 
4.5%
27212
 
4.4%
25206
 
4.3%
28196
 
4.0%
24186
 
3.8%
19181
 
3.7%
26181
 
3.7%
29180
 
3.7%
22178
 
3.7%
21160
 
3.3%
Other values (63)2944
60.8%
ValueCountFrequency (%)
064
1.3%
119
 
0.4%
229
0.6%
328
0.6%
426
0.5%
ValueCountFrequency (%)
991
< 0.1%
931
< 0.1%
771
< 0.1%
761
< 0.1%
731
< 0.1%

HHN5
Real number (ℝ≥0)

ZEROS

Distinct52
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.19801776
Minimum0
Maximum99
Zeros99
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:07.107207image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median9
Q313
95-th percentile21
Maximum99
Range99
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.30226353
Coefficient of variation (CV)0.617989072
Kurtosis15.50952224
Mean10.19801776
Median Absolute Deviation (MAD)3
Skewness2.322343596
Sum49389
Variance39.7185256
MonotonicityNot monotonic
2022-11-23T19:36:07.180345image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9433
 
8.9%
8418
 
8.6%
10392
 
8.1%
6353
 
7.3%
11352
 
7.3%
7349
 
7.2%
12295
 
6.1%
13265
 
5.5%
5262
 
5.4%
14217
 
4.5%
Other values (42)1507
31.1%
ValueCountFrequency (%)
099
2.0%
190
1.9%
2110
2.3%
3156
3.2%
4214
4.4%
ValueCountFrequency (%)
991
< 0.1%
691
< 0.1%
621
< 0.1%
591
< 0.1%
561
< 0.1%

HHN6
Real number (ℝ≥0)

ZEROS

Distinct39
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.762543878
Minimum0
Maximum99
Zeros248
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:07.251115image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile9
Maximum99
Range99
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.868045663
Coefficient of variation (CV)1.028040015
Kurtosis93.13773726
Mean3.762543878
Median Absolute Deviation (MAD)1
Skewness6.165020409
Sum18222
Variance14.96177725
MonotonicityNot monotonic
2022-11-23T19:36:07.317993image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
21032
21.3%
3979
20.2%
4709
14.6%
1688
14.2%
5387
 
8.0%
6256
 
5.3%
0248
 
5.1%
7130
 
2.7%
894
 
1.9%
980
 
1.7%
Other values (29)240
 
5.0%
ValueCountFrequency (%)
0248
 
5.1%
1688
14.2%
21032
21.3%
3979
20.2%
4709
14.6%
ValueCountFrequency (%)
991
< 0.1%
451
< 0.1%
432
< 0.1%
391
< 0.1%
351
< 0.1%

MARR1
Real number (ℝ≥0)

Distinct83
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.80900268
Minimum0
Maximum99
Zeros34
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:07.389583image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile35
Q153
median61
Q367
95-th percentile74
Maximum99
Range99
Interquartile range (IQR)14

Descriptive statistics

Standard deviation12.3820526
Coefficient of variation (CV)0.2105468897
Kurtosis3.672032962
Mean58.80900268
Median Absolute Deviation (MAD)7
Skewness-1.473126494
Sum284812
Variance153.3152267
MonotonicityNot monotonic
2022-11-23T19:36:07.462833image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
68232
 
4.8%
62224
 
4.6%
64222
 
4.6%
67207
 
4.3%
63202
 
4.2%
66201
 
4.2%
65191
 
3.9%
61179
 
3.7%
60175
 
3.6%
69171
 
3.5%
Other values (73)2839
58.6%
ValueCountFrequency (%)
034
0.7%
51
 
< 0.1%
62
 
< 0.1%
101
 
< 0.1%
111
 
< 0.1%
ValueCountFrequency (%)
991
< 0.1%
901
< 0.1%
892
< 0.1%
881
< 0.1%
861
< 0.1%

MARR2
Real number (ℝ≥0)

Distinct37
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.60540987
Minimum0
Maximum99
Zeros33
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:07.532681image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q18
median10
Q313
95-th percentile19
Maximum99
Range99
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.537396547
Coefficient of variation (CV)0.4278379245
Kurtosis31.54693589
Mean10.60540987
Median Absolute Deviation (MAD)3
Skewness2.298824515
Sum51362
Variance20.58796742
MonotonicityNot monotonic
2022-11-23T19:36:07.596882image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
9519
10.7%
8500
10.3%
10498
10.3%
11472
9.7%
12379
 
7.8%
7375
 
7.7%
13325
 
6.7%
6283
 
5.8%
14256
 
5.3%
5204
 
4.2%
Other values (27)1032
21.3%
ValueCountFrequency (%)
033
 
0.7%
13
 
0.1%
219
 
0.4%
355
 
1.1%
4141
2.9%
ValueCountFrequency (%)
991
< 0.1%
501
< 0.1%
381
< 0.1%
331
< 0.1%
321
< 0.1%

MARR3
Real number (ℝ≥0)

Distinct40
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.422465414
Minimum0
Maximum56
Zeros45
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:07.661578image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median7
Q39
95-th percentile16
Maximum56
Range56
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.828013475
Coefficient of variation (CV)0.6504595449
Kurtosis8.262829873
Mean7.422465414
Median Absolute Deviation (MAD)3
Skewness2.052018039
Sum35947
Variance23.30971412
MonotonicityNot monotonic
2022-11-23T19:36:07.722085image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
4535
11.0%
5534
11.0%
7510
10.5%
6501
10.3%
3442
9.1%
8393
8.1%
9344
7.1%
10271
 
5.6%
2270
 
5.6%
11211
 
4.4%
Other values (30)832
17.2%
ValueCountFrequency (%)
045
 
0.9%
189
 
1.8%
2270
5.6%
3442
9.1%
4535
11.0%
ValueCountFrequency (%)
561
 
< 0.1%
433
0.1%
411
 
< 0.1%
401
 
< 0.1%
362
< 0.1%

MARR4
Real number (ℝ≥0)

Distinct74
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.5032005
Minimum0
Maximum92
Zeros34
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:07.791069image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13
Q118
median21
Q325
95-th percentile38
Maximum92
Range92
Interquartile range (IQR)7

Descriptive statistics

Standard deviation8.507021426
Coefficient of variation (CV)0.3780360677
Kurtosis6.596927127
Mean22.5032005
Median Absolute Deviation (MAD)4
Skewness1.666277218
Sum108983
Variance72.36941355
MonotonicityNot monotonic
2022-11-23T19:36:07.931585image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18394
 
8.1%
21376
 
7.8%
19376
 
7.8%
20362
 
7.5%
22319
 
6.6%
17288
 
5.9%
23245
 
5.1%
25228
 
4.7%
16221
 
4.6%
24218
 
4.5%
Other values (64)1816
37.5%
ValueCountFrequency (%)
034
0.7%
24
 
0.1%
34
 
0.1%
411
 
0.2%
515
0.3%
ValueCountFrequency (%)
921
< 0.1%
841
< 0.1%
811
< 0.1%
801
< 0.1%
761
< 0.1%

HHP1
Real number (ℝ≥0)

Distinct291
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean184.226719
Minimum0
Maximum650
Zeros34
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:08.002615image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile111
Q1157
median180
Q3209
95-th percentile271
Maximum650
Range650
Interquartile range (IQR)52

Descriptive statistics

Standard deviation49.33692312
Coefficient of variation (CV)0.2678054703
Kurtosis3.824917167
Mean184.226719
Median Absolute Deviation (MAD)25
Skewness0.4158721689
Sum892210
Variance2434.131983
MonotonicityNot monotonic
2022-11-23T19:36:08.072608image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17869
 
1.4%
16368
 
1.4%
17766
 
1.4%
17465
 
1.3%
16964
 
1.3%
19064
 
1.3%
17063
 
1.3%
18062
 
1.3%
18860
 
1.2%
18558
 
1.2%
Other values (281)4204
86.8%
ValueCountFrequency (%)
034
0.7%
531
 
< 0.1%
552
 
< 0.1%
571
 
< 0.1%
591
 
< 0.1%
ValueCountFrequency (%)
6501
< 0.1%
4721
< 0.1%
4591
< 0.1%
4461
< 0.1%
4451
< 0.1%

HHP2
Real number (ℝ≥0)

Distinct282
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean258.5343795
Minimum0
Maximum700
Zeros34
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:08.146613image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile184
Q1233
median260
Q3287
95-th percentile329
Maximum700
Range700
Interquartile range (IQR)54

Descriptive statistics

Standard deviation48.90845081
Coefficient of variation (CV)0.1891758106
Kurtosis6.52061682
Mean258.5343795
Median Absolute Deviation (MAD)27
Skewness-0.7374803318
Sum1252082
Variance2392.03656
MonotonicityNot monotonic
2022-11-23T19:36:08.217013image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24765
 
1.3%
26064
 
1.3%
25758
 
1.2%
25158
 
1.2%
26756
 
1.2%
27356
 
1.2%
25953
 
1.1%
26253
 
1.1%
26552
 
1.1%
25452
 
1.1%
Other values (272)4276
88.3%
ValueCountFrequency (%)
034
0.7%
1081
 
< 0.1%
1101
 
< 0.1%
1121
 
< 0.1%
1181
 
< 0.1%
ValueCountFrequency (%)
7001
< 0.1%
5021
< 0.1%
4961
< 0.1%
4851
< 0.1%
4681
< 0.1%

DW1
Real number (ℝ≥0)

Distinct100
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.48317159
Minimum0
Maximum99
Zeros47
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:08.293276image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17
Q157.5
median75
Q391
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)33.5

Descriptive statistics

Standard deviation24.86653917
Coefficient of variation (CV)0.3528010816
Kurtosis0.3796268326
Mean70.48317159
Median Absolute Deviation (MAD)16
Skewness-0.9806258618
Sum341350
Variance618.3447704
MonotonicityNot monotonic
2022-11-23T19:36:08.365683image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99519
 
10.7%
98150
 
3.1%
77104
 
2.1%
80100
 
2.1%
9795
 
2.0%
7192
 
1.9%
7091
 
1.9%
9691
 
1.9%
7287
 
1.8%
7486
 
1.8%
Other values (90)3428
70.8%
ValueCountFrequency (%)
047
1.0%
125
0.5%
219
0.4%
39
 
0.2%
48
 
0.2%
ValueCountFrequency (%)
99519
10.7%
98150
 
3.1%
9795
 
2.0%
9691
 
1.9%
9583
 
1.7%

DW2
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.25438778
Minimum0
Maximum99
Zeros62
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:08.439828image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.1
Q151
median71
Q387
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)36

Descriptive statistics

Standard deviation26.39265429
Coefficient of variation (CV)0.3983533042
Kurtosis-0.1147684638
Mean66.25438778
Median Absolute Deviation (MAD)17
Skewness-0.815011428
Sum320870
Variance696.5722004
MonotonicityNot monotonic
2022-11-23T19:36:08.511163image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99348
 
7.2%
98137
 
2.8%
7195
 
2.0%
9792
 
1.9%
7692
 
1.9%
7092
 
1.9%
6990
 
1.9%
8689
 
1.8%
7486
 
1.8%
7786
 
1.8%
Other values (90)3636
75.1%
ValueCountFrequency (%)
062
1.3%
147
1.0%
219
 
0.4%
318
 
0.4%
47
 
0.1%
ValueCountFrequency (%)
99348
7.2%
98137
 
2.8%
9792
 
1.9%
9684
 
1.7%
9556
 
1.2%

DW3
Real number (ℝ≥0)

ZEROS

Distinct49
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.71546562
Minimum0
Maximum66
Zeros1848
Zeros (%)38.2%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:08.582308image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile11
Maximum66
Range66
Interquartile range (IQR)3

Descriptive statistics

Standard deviation5.125760673
Coefficient of variation (CV)1.887617591
Kurtosis30.17696988
Mean2.71546562
Median Absolute Deviation (MAD)1
Skewness4.518141556
Sum13151
Variance26.27342248
MonotonicityNot monotonic
2022-11-23T19:36:08.650681image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
01848
38.2%
11055
21.8%
2535
 
11.0%
3332
 
6.9%
4226
 
4.7%
5175
 
3.6%
6124
 
2.6%
890
 
1.9%
784
 
1.7%
958
 
1.2%
Other values (39)316
 
6.5%
ValueCountFrequency (%)
01848
38.2%
11055
21.8%
2535
 
11.0%
3332
 
6.9%
4226
 
4.7%
ValueCountFrequency (%)
661
 
< 0.1%
601
 
< 0.1%
551
 
< 0.1%
533
0.1%
511
 
< 0.1%

DW4
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.257898
Minimum0
Maximum99
Zeros859
Zeros (%)17.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:08.724966image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median9
Q329.5
95-th percentile72
Maximum99
Range99
Interquartile range (IQR)28.5

Descriptive statistics

Standard deviation23.5540231
Coefficient of variation (CV)1.223083802
Kurtosis1.507904412
Mean19.257898
Median Absolute Deviation (MAD)9
Skewness1.479732605
Sum93266
Variance554.7920044
MonotonicityNot monotonic
2022-11-23T19:36:08.796538image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0859
 
17.7%
1404
 
8.3%
2249
 
5.1%
3206
 
4.3%
4156
 
3.2%
6130
 
2.7%
5127
 
2.6%
7116
 
2.4%
8103
 
2.1%
9101
 
2.1%
Other values (90)2392
49.4%
ValueCountFrequency (%)
0859
17.7%
1404
8.3%
2249
 
5.1%
3206
 
4.3%
4156
 
3.2%
ValueCountFrequency (%)
9912
0.2%
9811
0.2%
9715
0.3%
968
0.2%
9511
0.2%

DW5
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.50526533
Minimum0
Maximum99
Zeros1313
Zeros (%)27.1%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:08.939576image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q325
95-th percentile67
Maximum99
Range99
Interquartile range (IQR)25

Descriptive statistics

Standard deviation22.45255043
Coefficient of variation (CV)1.360326537
Kurtosis2.297582589
Mean16.50526533
Median Absolute Deviation (MAD)6
Skewness1.68969461
Sum79935
Variance504.117021
MonotonicityNot monotonic
2022-11-23T19:36:09.012298image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01313
27.1%
1343
 
7.1%
2241
 
5.0%
3152
 
3.1%
4149
 
3.1%
5137
 
2.8%
6129
 
2.7%
7107
 
2.2%
9101
 
2.1%
898
 
2.0%
Other values (90)2073
42.8%
ValueCountFrequency (%)
01313
27.1%
1343
 
7.1%
2241
 
5.0%
3152
 
3.1%
4149
 
3.1%
ValueCountFrequency (%)
9910
0.2%
9810
0.2%
979
0.2%
9611
0.2%
9510
0.2%

DW6
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.15506917
Minimum0
Maximum99
Zeros1752
Zeros (%)36.2%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:09.086390image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q318
95-th percentile60
Maximum99
Range99
Interquartile range (IQR)18

Descriptive statistics

Standard deviation20.34780471
Coefficient of variation (CV)1.546765315
Kurtosis3.745734257
Mean13.15506917
Median Absolute Deviation (MAD)3
Skewness2.0124801
Sum63710
Variance414.0331564
MonotonicityNot monotonic
2022-11-23T19:36:09.159411image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01752
36.2%
1287
 
5.9%
2239
 
4.9%
3189
 
3.9%
4156
 
3.2%
5121
 
2.5%
6110
 
2.3%
7103
 
2.1%
987
 
1.8%
886
 
1.8%
Other values (90)1713
35.4%
ValueCountFrequency (%)
01752
36.2%
1287
 
5.9%
2239
 
4.9%
3189
 
3.9%
4156
 
3.2%
ValueCountFrequency (%)
995
0.1%
985
0.1%
974
0.1%
969
0.2%
951
 
< 0.1%

DW7
Real number (ℝ≥0)

ZEROS

Distinct56
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.709890564
Minimum0
Maximum99
Zeros3460
Zeros (%)71.4%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:09.233934image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile9
Maximum99
Range99
Interquartile range (IQR)1

Descriptive statistics

Standard deviation5.753317313
Coefficient of variation (CV)3.364728384
Kurtosis83.23755985
Mean1.709890564
Median Absolute Deviation (MAD)0
Skewness7.667317011
Sum8281
Variance33.10066011
MonotonicityNot monotonic
2022-11-23T19:36:09.310701image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
03460
71.4%
1394
 
8.1%
2257
 
5.3%
3160
 
3.3%
491
 
1.9%
673
 
1.5%
566
 
1.4%
750
 
1.0%
840
 
0.8%
1030
 
0.6%
Other values (46)222
 
4.6%
ValueCountFrequency (%)
03460
71.4%
1394
 
8.1%
2257
 
5.3%
3160
 
3.3%
491
 
1.9%
ValueCountFrequency (%)
992
< 0.1%
801
< 0.1%
771
< 0.1%
761
< 0.1%
721
< 0.1%

DW8
Real number (ℝ≥0)

ZEROS

Distinct41
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.041709684
Minimum0
Maximum77
Zeros3871
Zeros (%)79.9%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:09.386227image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum77
Range77
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.772593364
Coefficient of variation (CV)3.621540071
Kurtosis97.89455247
Mean1.041709684
Median Absolute Deviation (MAD)0
Skewness7.930337107
Sum5045
Variance14.23246069
MonotonicityNot monotonic
2022-11-23T19:36:09.457818image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
03871
79.9%
1260
 
5.4%
2188
 
3.9%
3143
 
3.0%
462
 
1.3%
650
 
1.0%
549
 
1.0%
733
 
0.7%
829
 
0.6%
1026
 
0.5%
Other values (31)132
 
2.7%
ValueCountFrequency (%)
03871
79.9%
1260
 
5.4%
2188
 
3.9%
3143
 
3.0%
462
 
1.3%
ValueCountFrequency (%)
771
< 0.1%
711
< 0.1%
581
< 0.1%
531
< 0.1%
431
< 0.1%

DW9
Real number (ℝ≥0)

ZEROS

Distinct46
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6601280198
Minimum0
Maximum99
Zeros4232
Zeros (%)87.4%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:09.535934image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.24187565
Coefficient of variation (CV)6.425837902
Kurtosis222.3560546
Mean0.6601280198
Median Absolute Deviation (MAD)0
Skewness13.23234072
Sum3197
Variance17.99350903
MonotonicityNot monotonic
2022-11-23T19:36:09.608294image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
04232
87.4%
1293
 
6.0%
298
 
2.0%
348
 
1.0%
431
 
0.6%
523
 
0.5%
615
 
0.3%
714
 
0.3%
109
 
0.2%
119
 
0.2%
Other values (36)71
 
1.5%
ValueCountFrequency (%)
04232
87.4%
1293
 
6.0%
298
 
2.0%
348
 
1.0%
431
 
0.6%
ValueCountFrequency (%)
992
< 0.1%
801
< 0.1%
691
< 0.1%
651
< 0.1%
622
< 0.1%

HV1
Real number (ℝ≥0)

Distinct1938
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1163.701425
Minimum0
Maximum5982
Zeros42
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:09.688244image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile325
Q1548
median809
Q31367.5
95-th percentile3402.9
Maximum5982
Range5982
Interquartile range (IQR)819.5

Descriptive statistics

Standard deviation1032.104682
Coefficient of variation (CV)0.8869153719
Kurtosis5.885744796
Mean1163.701425
Median Absolute Deviation (MAD)328
Skewness2.29804532
Sum5635806
Variance1065240.074
MonotonicityNot monotonic
2022-11-23T19:36:09.764588image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
042
 
0.9%
55016
 
0.3%
67514
 
0.3%
39714
 
0.3%
68313
 
0.3%
59512
 
0.2%
57611
 
0.2%
68411
 
0.2%
47511
 
0.2%
47610
 
0.2%
Other values (1928)4689
96.8%
ValueCountFrequency (%)
042
0.9%
1281
 
< 0.1%
1391
 
< 0.1%
1505
 
0.1%
1511
 
< 0.1%
ValueCountFrequency (%)
59821
< 0.1%
59801
< 0.1%
59761
< 0.1%
59751
< 0.1%
59701
< 0.1%

HV2
Real number (ℝ≥0)

Distinct2022
Distinct (%)41.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1237.942391
Minimum0
Maximum5945
Zeros42
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:09.841527image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile360
Q1588
median871
Q31495
95-th percentile3537.7
Maximum5945
Range5945
Interquartile range (IQR)907

Descriptive statistics

Standard deviation1034.740142
Coefficient of variation (CV)0.835854842
Kurtosis4.670178218
Mean1237.942391
Median Absolute Deviation (MAD)354
Skewness2.080099561
Sum5995355
Variance1070687.161
MonotonicityNot monotonic
2022-11-23T19:36:09.910533image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
042
 
0.9%
60612
 
0.2%
51412
 
0.2%
67511
 
0.2%
76911
 
0.2%
58411
 
0.2%
40910
 
0.2%
66510
 
0.2%
49410
 
0.2%
62510
 
0.2%
Other values (2012)4704
97.1%
ValueCountFrequency (%)
042
0.9%
1661
 
< 0.1%
1711
 
< 0.1%
1931
 
< 0.1%
2021
 
< 0.1%
ValueCountFrequency (%)
59451
< 0.1%
59331
< 0.1%
59321
< 0.1%
59261
< 0.1%
59051
< 0.1%

HV3
Real number (ℝ≥0)

Distinct14
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.425769151
Minimum0
Maximum13
Zeros39
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:10.042867image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median4
Q36
95-th percentile9
Maximum13
Range13
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.400866566
Coefficient of variation (CV)0.5424744228
Kurtosis1.239423516
Mean4.425769151
Median Absolute Deviation (MAD)1
Skewness1.130810907
Sum21434
Variance5.764160266
MonotonicityNot monotonic
2022-11-23T19:36:10.096048image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
31059
21.9%
4912
18.8%
2800
16.5%
5664
13.7%
6410
 
8.5%
7290
 
6.0%
8165
 
3.4%
1142
 
2.9%
9140
 
2.9%
1275
 
1.5%
Other values (4)186
 
3.8%
ValueCountFrequency (%)
039
 
0.8%
1142
 
2.9%
2800
16.5%
31059
21.9%
4912
18.8%
ValueCountFrequency (%)
1315
 
0.3%
1275
1.5%
1162
1.3%
1070
1.4%
9140
2.9%

HV4
Real number (ℝ≥0)

ZEROS

Distinct14
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.07082387
Minimum0
Maximum13
Zeros61
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:10.146910image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median4
Q35
95-th percentile9
Maximum13
Range13
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.321296062
Coefficient of variation (CV)0.5702275846
Kurtosis0.3448996638
Mean4.07082387
Median Absolute Deviation (MAD)2
Skewness0.8102140135
Sum19715
Variance5.388415409
MonotonicityNot monotonic
2022-11-23T19:36:10.199393image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3891
18.4%
2865
17.9%
4835
17.2%
5619
12.8%
1443
9.1%
6399
8.2%
7268
 
5.5%
8200
 
4.1%
9122
 
2.5%
1086
 
1.8%
Other values (4)115
 
2.4%
ValueCountFrequency (%)
061
 
1.3%
1443
9.1%
2865
17.9%
3891
18.4%
4835
17.2%
ValueCountFrequency (%)
131
 
< 0.1%
1210
 
0.2%
1143
 
0.9%
1086
1.8%
9122
2.5%

HU1
Real number (ℝ≥0)

Distinct100
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.29010944
Minimum0
Maximum99
Zeros43
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:10.263367image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile26
Q161
median76
Q385
95-th percentile95
Maximum99
Range99
Interquartile range (IQR)24

Descriptive statistics

Standard deviation21.20244951
Coefficient of variation (CV)0.3016420046
Kurtosis1.238800617
Mean70.29010944
Median Absolute Deviation (MAD)11
Skewness-1.237096418
Sum340415
Variance449.5438654
MonotonicityNot monotonic
2022-11-23T19:36:10.335191image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
84147
 
3.0%
85142
 
2.9%
81136
 
2.8%
82133
 
2.7%
78132
 
2.7%
86128
 
2.6%
83126
 
2.6%
79126
 
2.6%
88123
 
2.5%
77120
 
2.5%
Other values (90)3530
72.9%
ValueCountFrequency (%)
043
0.9%
116
 
0.3%
27
 
0.1%
34
 
0.1%
45
 
0.1%
ValueCountFrequency (%)
9911
 
0.2%
9835
0.7%
9775
1.5%
9676
1.6%
9572
1.5%

HU2
Real number (ℝ≥0)

Distinct100
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.00763989
Minimum0
Maximum99
Zeros37
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:10.408645image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q114
median24
Q338
95-th percentile71.9
Maximum99
Range99
Interquartile range (IQR)24

Descriptive statistics

Standard deviation20.50126036
Coefficient of variation (CV)0.706753822
Kurtosis1.047429779
Mean29.00763989
Median Absolute Deviation (MAD)11
Skewness1.163670489
Sum140484
Variance420.3016764
MonotonicityNot monotonic
2022-11-23T19:36:10.480171image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16147
 
3.0%
15142
 
2.9%
19136
 
2.8%
18133
 
2.7%
22131
 
2.7%
14128
 
2.6%
17126
 
2.6%
21126
 
2.6%
23121
 
2.5%
12118
 
2.4%
Other values (90)3535
73.0%
ValueCountFrequency (%)
037
0.8%
18
 
0.2%
235
0.7%
375
1.5%
475
1.5%
ValueCountFrequency (%)
9925
0.5%
987
 
0.1%
974
 
0.1%
965
 
0.1%
952
 
< 0.1%

HU3
Real number (ℝ≥0)

Distinct75
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.05864134
Minimum0
Maximum99
Zeros34
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:10.552954image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile68
Q189
median94
Q397
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)8

Descriptive statistics

Standard deviation12.53175517
Coefficient of variation (CV)0.1391510574
Kurtosis21.0317732
Mean90.05864134
Median Absolute Deviation (MAD)3
Skewness-3.953963228
Sum436154
Variance157.0448876
MonotonicityNot monotonic
2022-11-23T19:36:10.624048image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
97519
 
10.7%
96484
 
10.0%
95470
 
9.7%
98441
 
9.1%
94346
 
7.1%
93321
 
6.6%
99298
 
6.2%
92265
 
5.5%
91209
 
4.3%
90166
 
3.4%
Other values (65)1324
27.3%
ValueCountFrequency (%)
034
0.7%
21
 
< 0.1%
161
 
< 0.1%
211
 
< 0.1%
251
 
< 0.1%
ValueCountFrequency (%)
99298
6.2%
98441
9.1%
97519
10.7%
96484
10.0%
95470
9.7%

HU4
Real number (ℝ≥0)

ZEROS

Distinct75
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.231674582
Minimum0
Maximum98
Zeros77
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:10.696495image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median6
Q311
95-th percentile29
Maximum98
Range98
Interquartile range (IQR)8

Descriptive statistics

Standard deviation10.02335213
Coefficient of variation (CV)1.085756657
Kurtosis10.69005267
Mean9.231674582
Median Absolute Deviation (MAD)3
Skewness2.836533176
Sum44709
Variance100.467588
MonotonicityNot monotonic
2022-11-23T19:36:10.767622image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3521
 
10.8%
4484
 
10.0%
5470
 
9.7%
2439
 
9.1%
6346
 
7.1%
7321
 
6.6%
8265
 
5.5%
1255
 
5.3%
9209
 
4.3%
10166
 
3.4%
Other values (65)1367
28.2%
ValueCountFrequency (%)
077
 
1.6%
1255
5.3%
2439
9.1%
3521
10.8%
4484
10.0%
ValueCountFrequency (%)
981
< 0.1%
841
< 0.1%
791
< 0.1%
751
< 0.1%
732
< 0.1%

HU5
Real number (ℝ≥0)

ZEROS

Distinct98
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.45385092
Minimum0
Maximum99
Zeros1461
Zeros (%)30.2%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:10.839763image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q317.5
95-th percentile66
Maximum99
Range99
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation21.46171503
Coefficient of variation (CV)1.484844084
Kurtosis2.844086475
Mean14.45385092
Median Absolute Deviation (MAD)5
Skewness1.899548788
Sum70000
Variance460.6052118
MonotonicityNot monotonic
2022-11-23T19:36:10.912618image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01461
30.2%
3253
 
5.2%
2225
 
4.6%
4215
 
4.4%
5203
 
4.2%
6169
 
3.5%
1153
 
3.2%
8139
 
2.9%
7138
 
2.8%
9118
 
2.4%
Other values (88)1769
36.5%
ValueCountFrequency (%)
01461
30.2%
1153
 
3.2%
2225
 
4.6%
3253
 
5.2%
4215
 
4.4%
ValueCountFrequency (%)
994
0.1%
971
 
< 0.1%
954
0.1%
943
0.1%
936
0.1%

HHD1
Real number (ℝ≥0)

ZEROS

Distinct82
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.05946727
Minimum0
Maximum99
Zeros60
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:10.986618image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12
Q128
median36
Q343
95-th percentile56
Maximum99
Range99
Interquartile range (IQR)15

Descriptive statistics

Standard deviation12.99630483
Coefficient of variation (CV)0.3706931633
Kurtosis0.5325889638
Mean35.05946727
Median Absolute Deviation (MAD)8
Skewness-0.1686611192
Sum169793
Variance168.9039392
MonotonicityNot monotonic
2022-11-23T19:36:11.130147image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36189
 
3.9%
35187
 
3.9%
38176
 
3.6%
34175
 
3.6%
37163
 
3.4%
39158
 
3.3%
40152
 
3.1%
41152
 
3.1%
32151
 
3.1%
42148
 
3.1%
Other values (72)3192
65.9%
ValueCountFrequency (%)
060
1.2%
17
 
0.1%
26
 
0.1%
315
 
0.3%
411
 
0.2%
ValueCountFrequency (%)
991
< 0.1%
981
< 0.1%
862
< 0.1%
851
< 0.1%
791
< 0.1%

HHD2
Real number (ℝ≥0)

Distinct92
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.50361346
Minimum0
Maximum99
Zeros34
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:11.203739image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile44
Q166
median74
Q381
95-th percentile89
Maximum99
Range99
Interquartile range (IQR)15

Descriptive statistics

Standard deviation14.76754123
Coefficient of variation (CV)0.2065286007
Kurtosis4.462080954
Mean71.50361346
Median Absolute Deviation (MAD)8
Skewness-1.683859618
Sum346292
Variance218.080274
MonotonicityNot monotonic
2022-11-23T19:36:11.276738image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75205
 
4.2%
80201
 
4.2%
77182
 
3.8%
79178
 
3.7%
76177
 
3.7%
74176
 
3.6%
73173
 
3.6%
78170
 
3.5%
81163
 
3.4%
71156
 
3.2%
Other values (82)3062
63.2%
ValueCountFrequency (%)
034
0.7%
41
 
< 0.1%
71
 
< 0.1%
82
 
< 0.1%
101
 
< 0.1%
ValueCountFrequency (%)
993
 
0.1%
982
 
< 0.1%
975
0.1%
964
 
0.1%
9510
0.2%

HHD3
Real number (ℝ≥0)

Distinct94
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.33450341
Minimum0
Maximum99
Zeros34
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:11.350928image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30
Q151
median62
Q370
95-th percentile81
Maximum99
Range99
Interquartile range (IQR)19

Descriptive statistics

Standard deviation15.70653332
Coefficient of variation (CV)0.2647116335
Kurtosis1.139256201
Mean59.33450341
Median Absolute Deviation (MAD)9
Skewness-0.8753909341
Sum287357
Variance246.6951889
MonotonicityNot monotonic
2022-11-23T19:36:11.422785image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66159
 
3.3%
64154
 
3.2%
63147
 
3.0%
68146
 
3.0%
67138
 
2.8%
65138
 
2.8%
69137
 
2.8%
62137
 
2.8%
60132
 
2.7%
59130
 
2.7%
Other values (84)3425
70.7%
ValueCountFrequency (%)
034
0.7%
21
 
< 0.1%
41
 
< 0.1%
61
 
< 0.1%
72
 
< 0.1%
ValueCountFrequency (%)
991
 
< 0.1%
971
 
< 0.1%
952
< 0.1%
943
0.1%
921
 
< 0.1%

HHD4
Real number (ℝ≥0)

ZEROS

Distinct75
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.66487714
Minimum0
Maximum99
Zeros66
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:11.496912image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q120
median28
Q335
95-th percentile48
Maximum99
Range99
Interquartile range (IQR)15

Descriptive statistics

Standard deviation11.96336394
Coefficient of variation (CV)0.4324387156
Kurtosis0.6678133584
Mean27.66487714
Median Absolute Deviation (MAD)7
Skewness0.2410862743
Sum133981
Variance143.1220767
MonotonicityNot monotonic
2022-11-23T19:36:11.570264image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28198
 
4.1%
27187
 
3.9%
29185
 
3.8%
25179
 
3.7%
31177
 
3.7%
30169
 
3.5%
32168
 
3.5%
22163
 
3.4%
26161
 
3.3%
23155
 
3.2%
Other values (65)3101
64.0%
ValueCountFrequency (%)
066
1.4%
111
 
0.2%
221
 
0.4%
325
 
0.5%
426
 
0.5%
ValueCountFrequency (%)
991
< 0.1%
931
< 0.1%
851
< 0.1%
821
< 0.1%
742
< 0.1%

HHD5
Real number (ℝ≥0)

Distinct88
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.94507537
Minimum0
Maximum99
Zeros34
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:11.644655image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile58
Q179
median86
Q390
95-th percentile94
Maximum99
Range99
Interquartile range (IQR)11

Descriptive statistics

Standard deviation13.57078974
Coefficient of variation (CV)0.1656083624
Kurtosis11.43598467
Mean81.94507537
Median Absolute Deviation (MAD)5
Skewness-2.840316371
Sum396860
Variance184.1663342
MonotonicityNot monotonic
2022-11-23T19:36:11.716705image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
91300
 
6.2%
90296
 
6.1%
86280
 
5.8%
89270
 
5.6%
88266
 
5.5%
87262
 
5.4%
85248
 
5.1%
84219
 
4.5%
92215
 
4.4%
83202
 
4.2%
Other values (78)2285
47.2%
ValueCountFrequency (%)
034
0.7%
31
 
< 0.1%
61
 
< 0.1%
102
 
< 0.1%
111
 
< 0.1%
ValueCountFrequency (%)
994
 
0.1%
9810
 
0.2%
9731
 
0.6%
9658
1.2%
95116
2.4%

HHD6
Real number (ℝ≥0)

Distinct89
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.39355771
Minimum0
Maximum99
Zeros33
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:11.789725image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q110
median14
Q321
95-th percentile40
Maximum99
Range99
Interquartile range (IQR)11

Descriptive statistics

Standard deviation11.89305816
Coefficient of variation (CV)0.6837622505
Kurtosis7.022088548
Mean17.39355771
Median Absolute Deviation (MAD)5
Skewness2.196147508
Sum84237
Variance141.4448325
MonotonicityNot monotonic
2022-11-23T19:36:11.860913image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9300
 
6.2%
10296
 
6.1%
14280
 
5.8%
11270
 
5.6%
12266
 
5.5%
13262
 
5.4%
15248
 
5.1%
16219
 
4.5%
8215
 
4.4%
17202
 
4.2%
Other values (79)2285
47.2%
ValueCountFrequency (%)
033
0.7%
13
 
0.1%
210
 
0.2%
331
0.6%
458
1.2%
ValueCountFrequency (%)
992
< 0.1%
971
< 0.1%
941
< 0.1%
902
< 0.1%
891
< 0.1%

HHD7
Real number (ℝ≥0)

ZEROS

Distinct39
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.40037167
Minimum0
Maximum58
Zeros78
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:11.928684image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median7
Q39
95-th percentile16
Maximum58
Range58
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.630562215
Coefficient of variation (CV)0.6257202235
Kurtosis8.412170582
Mean7.40037167
Median Absolute Deviation (MAD)2
Skewness2.040418623
Sum35840
Variance21.44210643
MonotonicityNot monotonic
2022-11-23T19:36:11.990744image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
5628
13.0%
6569
11.7%
7508
10.5%
4503
10.4%
8462
9.5%
9380
7.8%
3368
7.6%
10253
 
5.2%
2191
 
3.9%
11172
 
3.6%
Other values (29)809
16.7%
ValueCountFrequency (%)
078
 
1.6%
176
 
1.6%
2191
 
3.9%
3368
7.6%
4503
10.4%
ValueCountFrequency (%)
581
< 0.1%
391
< 0.1%
371
< 0.1%
362
< 0.1%
351
< 0.1%

HHD8
Real number (ℝ≥0)

ZEROS

Distinct11
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.59962833
Minimum0
Maximum10
Zeros492
Zeros (%)10.2%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:12.049150image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile3
Maximum10
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.079519005
Coefficient of variation (CV)0.6748561433
Kurtosis4.911070694
Mean1.59962833
Median Absolute Deviation (MAD)1
Skewness1.442851014
Sum7747
Variance1.165361283
MonotonicityNot monotonic
2022-11-23T19:36:12.171350image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
12060
42.5%
21563
32.3%
3501
 
10.3%
0492
 
10.2%
4144
 
3.0%
547
 
1.0%
618
 
0.4%
79
 
0.2%
86
 
0.1%
92
 
< 0.1%
ValueCountFrequency (%)
0492
 
10.2%
12060
42.5%
21563
32.3%
3501
 
10.3%
4144
 
3.0%
ValueCountFrequency (%)
101
 
< 0.1%
92
 
< 0.1%
86
 
0.1%
79
0.2%
618
0.4%

HHD9
Real number (ℝ≥0)

ZEROS

Distinct36
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.807144332
Minimum0
Maximum56
Zeros94
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:12.229684image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q37
95-th percentile13
Maximum56
Range56
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.00989773
Coefficient of variation (CV)0.6905111188
Kurtosis12.19859861
Mean5.807144332
Median Absolute Deviation (MAD)2
Skewness2.419640736
Sum28124
Variance16.0792798
MonotonicityNot monotonic
2022-11-23T19:36:12.288637image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
4756
15.6%
5667
13.8%
3662
13.7%
6525
10.8%
7459
9.5%
2413
8.5%
8288
 
5.9%
9198
 
4.1%
1176
 
3.6%
10147
 
3.0%
Other values (26)552
11.4%
ValueCountFrequency (%)
094
 
1.9%
1176
 
3.6%
2413
8.5%
3662
13.7%
4756
15.6%
ValueCountFrequency (%)
561
< 0.1%
381
< 0.1%
351
< 0.1%
332
< 0.1%
321
< 0.1%

HHD10
Real number (ℝ≥0)

Distinct59
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.5874458
Minimum0
Maximum82
Zeros35
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:12.358150image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q19
median12
Q316
95-th percentile27
Maximum82
Range82
Interquartile range (IQR)7

Descriptive statistics

Standard deviation7.019411874
Coefficient of variation (CV)0.5166101104
Kurtosis8.685211749
Mean13.5874458
Median Absolute Deviation (MAD)3
Skewness2.078949477
Sum65804
Variance49.27214306
MonotonicityNot monotonic
2022-11-23T19:36:12.425178image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11476
 
9.8%
12435
 
9.0%
10407
 
8.4%
13386
 
8.0%
9384
 
7.9%
14296
 
6.1%
8272
 
5.6%
15241
 
5.0%
7219
 
4.5%
16192
 
4.0%
Other values (49)1535
31.7%
ValueCountFrequency (%)
035
0.7%
12
 
< 0.1%
213
 
0.3%
319
 
0.4%
449
1.0%
ValueCountFrequency (%)
821
< 0.1%
811
< 0.1%
641
< 0.1%
591
< 0.1%
581
< 0.1%

HHD11
Real number (ℝ≥0)

Distinct65
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.98265538
Minimum0
Maximum75
Zeros39
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:12.494513image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.1
Q112
median18
Q324
95-th percentile36
Maximum75
Range75
Interquartile range (IQR)12

Descriptive statistics

Standard deviation9.263396843
Coefficient of variation (CV)0.4879926785
Kurtosis1.80495262
Mean18.98265538
Median Absolute Deviation (MAD)6
Skewness0.9591174316
Sum91933
Variance85.81052108
MonotonicityNot monotonic
2022-11-23T19:36:12.563646image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17253
 
5.2%
16232
 
4.8%
14231
 
4.8%
15230
 
4.7%
12223
 
4.6%
20212
 
4.4%
19209
 
4.3%
10206
 
4.3%
18204
 
4.2%
13204
 
4.2%
Other values (55)2639
54.5%
ValueCountFrequency (%)
039
0.8%
14
 
0.1%
212
 
0.2%
315
 
0.3%
428
0.6%
ValueCountFrequency (%)
751
< 0.1%
701
< 0.1%
691
< 0.1%
671
< 0.1%
631
< 0.1%

HHD12
Real number (ℝ≥0)

ZEROS

Distinct37
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.913070411
Minimum0
Maximum56
Zeros81
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:12.632166image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median4
Q36
95-th percentile12
Maximum56
Range56
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.004190356
Coefficient of variation (CV)0.8150077285
Kurtosis16.47849813
Mean4.913070411
Median Absolute Deviation (MAD)2
Skewness2.903115734
Sum23794
Variance16.03354041
MonotonicityNot monotonic
2022-11-23T19:36:12.693505image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
2824
17.0%
3811
16.7%
4713
14.7%
5537
11.1%
1399
8.2%
6378
7.8%
7289
 
6.0%
8208
 
4.3%
9126
 
2.6%
10114
 
2.4%
Other values (27)444
9.2%
ValueCountFrequency (%)
081
 
1.7%
1399
8.2%
2824
17.0%
3811
16.7%
4713
14.7%
ValueCountFrequency (%)
561
< 0.1%
461
< 0.1%
411
< 0.1%
381
< 0.1%
342
< 0.1%

ETHC1
Real number (ℝ≥0)

ZEROS

Distinct43
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.90047491
Minimum0
Maximum71
Zeros109
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:12.761567image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q113
median18
Q321.5
95-th percentile26
Maximum71
Range71
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation6.686865758
Coefficient of variation (CV)0.3956614115
Kurtosis0.9368482947
Mean16.90047491
Median Absolute Deviation (MAD)4
Skewness-0.3360593288
Sum81849
Variance44.71417367
MonotonicityNot monotonic
2022-11-23T19:36:12.827675image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
20330
 
6.8%
21322
 
6.6%
16300
 
6.2%
18299
 
6.2%
19298
 
6.2%
17282
 
5.8%
22279
 
5.8%
15264
 
5.5%
23238
 
4.9%
14237
 
4.9%
Other values (33)1994
41.2%
ValueCountFrequency (%)
0109
2.3%
135
 
0.7%
236
 
0.7%
340
 
0.8%
447
1.0%
ValueCountFrequency (%)
711
< 0.1%
412
< 0.1%
401
< 0.1%
391
< 0.1%
381
< 0.1%

ETHC2
Real number (ℝ≥0)

ZEROS

Distinct85
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.51497006
Minimum0
Maximum99
Zeros54
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:12.901514image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile23
Q147
median55
Q360
95-th percentile66
Maximum99
Range99
Interquartile range (IQR)13

Descriptive statistics

Standard deviation13.52322695
Coefficient of variation (CV)0.2625106243
Kurtosis3.495626033
Mean51.51497006
Median Absolute Deviation (MAD)6
Skewness-1.67258968
Sum249487
Variance182.8776672
MonotonicityNot monotonic
2022-11-23T19:36:12.972011image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60263
 
5.4%
56233
 
4.8%
55221
 
4.6%
62218
 
4.5%
58215
 
4.4%
53209
 
4.3%
57205
 
4.2%
59203
 
4.2%
61200
 
4.1%
54195
 
4.0%
Other values (75)2681
55.4%
ValueCountFrequency (%)
054
1.1%
112
 
0.2%
212
 
0.2%
38
 
0.2%
48
 
0.2%
ValueCountFrequency (%)
991
< 0.1%
911
< 0.1%
901
< 0.1%
851
< 0.1%
841
< 0.1%

ETHC3
Real number (ℝ≥0)

ZEROS

Distinct90
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.06813958
Minimum0
Maximum97
Zeros68
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:13.043788image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110
median16
Q323
95-th percentile40
Maximum97
Range97
Interquartile range (IQR)13

Descriptive statistics

Standard deviation12.57083617
Coefficient of variation (CV)0.6957460179
Kurtosis7.577987998
Mean18.06813958
Median Absolute Deviation (MAD)6
Skewness2.074619063
Sum87504
Variance158.0259219
MonotonicityNot monotonic
2022-11-23T19:36:13.114423image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16221
 
4.6%
12215
 
4.4%
13215
 
4.4%
11208
 
4.3%
19195
 
4.0%
18190
 
3.9%
15188
 
3.9%
10180
 
3.7%
20179
 
3.7%
9169
 
3.5%
Other values (80)2883
59.5%
ValueCountFrequency (%)
068
1.4%
141
 
0.8%
264
1.3%
392
1.9%
4106
2.2%
ValueCountFrequency (%)
971
 
< 0.1%
963
0.1%
945
0.1%
932
 
< 0.1%
921
 
< 0.1%

ETHC4
Real number (ℝ≥0)

ZEROS

Distinct34
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.57257898
Minimum0
Maximum43
Zeros2914
Zeros (%)60.2%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:13.253061image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum43
Range43
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.820347016
Coefficient of variation (CV)2.429351444
Kurtosis20.61373278
Mean1.57257898
Median Absolute Deviation (MAD)0
Skewness4.136772153
Sum7616
Variance14.59505132
MonotonicityNot monotonic
2022-11-23T19:36:13.313153image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
02914
60.2%
1888
 
18.3%
2304
 
6.3%
3159
 
3.3%
4121
 
2.5%
572
 
1.5%
656
 
1.2%
754
 
1.1%
834
 
0.7%
929
 
0.6%
Other values (24)212
 
4.4%
ValueCountFrequency (%)
02914
60.2%
1888
 
18.3%
2304
 
6.3%
3159
 
3.3%
4121
 
2.5%
ValueCountFrequency (%)
431
 
< 0.1%
341
 
< 0.1%
331
 
< 0.1%
313
0.1%
291
 
< 0.1%

ETHC5
Real number (ℝ≥0)

ZEROS

Distinct66
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.758414206
Minimum0
Maximum69
Zeros2001
Zeros (%)41.3%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:13.380696image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile19
Maximum69
Range69
Interquartile range (IQR)3

Descriptive statistics

Standard deviation8.800667249
Coefficient of variation (CV)2.341590566
Kurtosis20.30181612
Mean3.758414206
Median Absolute Deviation (MAD)1
Skewness4.228667545
Sum18202
Variance77.45174404
MonotonicityNot monotonic
2022-11-23T19:36:13.450612image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02001
41.3%
11059
21.9%
2451
 
9.3%
3272
 
5.6%
4181
 
3.7%
5107
 
2.2%
689
 
1.8%
872
 
1.5%
770
 
1.4%
1253
 
1.1%
Other values (56)488
 
10.1%
ValueCountFrequency (%)
02001
41.3%
11059
21.9%
2451
 
9.3%
3272
 
5.6%
4181
 
3.7%
ValueCountFrequency (%)
691
 
< 0.1%
672
< 0.1%
653
0.1%
641
 
< 0.1%
633
0.1%

ETHC6
Real number (ℝ≥0)

ZEROS

Distinct35
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6673549453
Minimum0
Maximum43
Zeros3959
Zeros (%)81.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:13.521575image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum43
Range43
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.619672218
Coefficient of variation (CV)3.925455617
Kurtosis72.86031372
Mean0.6673549453
Median Absolute Deviation (MAD)0
Skewness7.477119308
Sum3232
Variance6.862682531
MonotonicityNot monotonic
2022-11-23T19:36:13.580453image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
03959
81.7%
1431
 
8.9%
2135
 
2.8%
368
 
1.4%
456
 
1.2%
539
 
0.8%
627
 
0.6%
721
 
0.4%
814
 
0.3%
1114
 
0.3%
Other values (25)79
 
1.6%
ValueCountFrequency (%)
03959
81.7%
1431
 
8.9%
2135
 
2.8%
368
 
1.4%
456
 
1.2%
ValueCountFrequency (%)
431
< 0.1%
401
< 0.1%
331
< 0.1%
321
< 0.1%
311
< 0.1%

HVP1
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.22960975
Minimum0
Maximum99
Zeros1891
Zeros (%)39.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:13.647463image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q315
95-th percentile93
Maximum99
Range99
Interquartile range (IQR)15

Descriptive statistics

Standard deviation28.99227444
Coefficient of variation (CV)1.78638149
Kurtosis1.904976919
Mean16.22960975
Median Absolute Deviation (MAD)1
Skewness1.830519792
Sum78600
Variance840.5519773
MonotonicityNot monotonic
2022-11-23T19:36:13.718909image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01891
39.0%
1654
 
13.5%
2257
 
5.3%
3182
 
3.8%
4112
 
2.3%
594
 
1.9%
780
 
1.7%
664
 
1.3%
864
 
1.3%
9854
 
1.1%
Other values (90)1391
28.7%
ValueCountFrequency (%)
01891
39.0%
1654
 
13.5%
2257
 
5.3%
3182
 
3.8%
4112
 
2.3%
ValueCountFrequency (%)
9947
1.0%
9854
1.1%
9735
0.7%
9633
0.7%
9528
0.6%

HVP2
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.29300021
Minimum0
Maximum99
Zeros1095
Zeros (%)22.6%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:13.791235image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q339
95-th percentile97
Maximum99
Range99
Interquartile range (IQR)38

Descriptive statistics

Standard deviation33.93613931
Coefficient of variation (CV)1.396951345
Kurtosis-0.07515498234
Mean24.29300021
Median Absolute Deviation (MAD)5
Skewness1.232706445
Sum117651
Variance1151.661552
MonotonicityNot monotonic
2022-11-23T19:36:13.864232image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01095
22.6%
1618
 
12.8%
2325
 
6.7%
3216
 
4.5%
4148
 
3.1%
99124
 
2.6%
5121
 
2.5%
6114
 
2.4%
98107
 
2.2%
776
 
1.6%
Other values (90)1899
39.2%
ValueCountFrequency (%)
01095
22.6%
1618
12.8%
2325
 
6.7%
3216
 
4.5%
4148
 
3.1%
ValueCountFrequency (%)
99124
2.6%
98107
2.2%
9770
1.4%
9648
 
1.0%
9534
 
0.7%

HVP3
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.93619657
Minimum0
Maximum99
Zeros378
Zeros (%)7.8%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:13.938156image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median23
Q379
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)75

Descriptive statistics

Standard deviation37.67682881
Coefficient of variation (CV)0.967655604
Kurtosis-1.377415829
Mean38.93619657
Median Absolute Deviation (MAD)22
Skewness0.5169050833
Sum188568
Variance1419.543429
MonotonicityNot monotonic
2022-11-23T19:36:14.009927image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99427
 
8.8%
0378
 
7.8%
1285
 
5.9%
2207
 
4.3%
3187
 
3.9%
4170
 
3.5%
5131
 
2.7%
98128
 
2.6%
6125
 
2.6%
7117
 
2.4%
Other values (90)2688
55.5%
ValueCountFrequency (%)
0378
7.8%
1285
5.9%
2207
4.3%
3187
3.9%
4170
3.5%
ValueCountFrequency (%)
99427
8.8%
98128
 
2.6%
97117
 
2.4%
9658
 
1.2%
9550
 
1.0%

HVP4
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.0175511
Minimum0
Maximum99
Zeros117
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:14.082885image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q118
median58
Q395
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)77

Descriptive statistics

Standard deviation36.70199804
Coefficient of variation (CV)0.6670961775
Kurtosis-1.593611113
Mean55.0175511
Median Absolute Deviation (MAD)38
Skewness-0.1141319698
Sum266450
Variance1347.03666
MonotonicityNot monotonic
2022-11-23T19:36:14.153959image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99755
 
15.6%
98215
 
4.4%
97118
 
2.4%
0117
 
2.4%
9696
 
2.0%
381
 
1.7%
180
 
1.7%
477
 
1.6%
1372
 
1.5%
572
 
1.5%
Other values (90)3160
65.2%
ValueCountFrequency (%)
0117
2.4%
180
1.7%
268
1.4%
381
1.7%
477
1.6%
ValueCountFrequency (%)
99755
15.6%
98215
 
4.4%
97118
 
2.4%
9696
 
2.0%
9564
 
1.3%

HVP5
Real number (ℝ≥0)

Distinct100
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.72682222
Minimum0
Maximum99
Zeros48
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:14.297618image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17
Q159
median93
Q399
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)40

Descriptive statistics

Standard deviation28.35782011
Coefficient of variation (CV)0.3695946123
Kurtosis-0.06892222399
Mean76.72682222
Median Absolute Deviation (MAD)6
Skewness-1.111298426
Sum371588
Variance804.1659615
MonotonicityNot monotonic
2022-11-23T19:36:14.369709image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
991541
31.8%
98281
 
5.8%
97181
 
3.7%
96151
 
3.1%
95107
 
2.2%
9492
 
1.9%
9276
 
1.6%
9372
 
1.5%
9059
 
1.2%
9155
 
1.1%
Other values (90)2228
46.0%
ValueCountFrequency (%)
048
1.0%
12
 
< 0.1%
26
 
0.1%
31
 
< 0.1%
47
 
0.1%
ValueCountFrequency (%)
991541
31.8%
98281
 
5.8%
97181
 
3.7%
96151
 
3.1%
95107
 
2.2%

HVP6
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.998554615
Minimum0
Maximum99
Zeros2924
Zeros (%)60.4%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:14.443133image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile64
Maximum99
Range99
Interquartile range (IQR)3

Descriptive statistics

Standard deviation20.39457427
Coefficient of variation (CV)2.549782461
Kurtosis8.541710665
Mean7.998554615
Median Absolute Deviation (MAD)0
Skewness3.050623842
Sum38737
Variance415.9386596
MonotonicityNot monotonic
2022-11-23T19:36:14.515522image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02924
60.4%
1511
 
10.6%
2193
 
4.0%
3138
 
2.8%
481
 
1.7%
556
 
1.2%
651
 
1.1%
745
 
0.9%
838
 
0.8%
934
 
0.7%
Other values (90)772
 
15.9%
ValueCountFrequency (%)
02924
60.4%
1511
 
10.6%
2193
 
4.0%
3138
 
2.8%
481
 
1.7%
ValueCountFrequency (%)
9912
0.2%
988
0.2%
9712
0.2%
9611
0.2%
9510
0.2%

HUR1
Real number (ℝ≥0)

ZEROS

Distinct61
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.783811687
Minimum0
Maximum90
Zeros868
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:14.589292image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q36
95-th percentile18.9
Maximum90
Range90
Interquartile range (IQR)5

Descriptive statistics

Standard deviation7.24924544
Coefficient of variation (CV)1.515370151
Kurtosis24.67537619
Mean4.783811687
Median Absolute Deviation (MAD)2
Skewness3.952944176
Sum23168
Variance52.55155945
MonotonicityNot monotonic
2022-11-23T19:36:14.658237image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1948
19.6%
0868
17.9%
2706
14.6%
3458
9.5%
4364
 
7.5%
5246
 
5.1%
6218
 
4.5%
7149
 
3.1%
8125
 
2.6%
996
 
2.0%
Other values (51)665
13.7%
ValueCountFrequency (%)
0868
17.9%
1948
19.6%
2706
14.6%
3458
9.5%
4364
 
7.5%
ValueCountFrequency (%)
901
< 0.1%
891
< 0.1%
761
< 0.1%
741
< 0.1%
701
< 0.1%

HUR2
Real number (ℝ≥0)

Distinct100
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.59178195
Minimum0
Maximum99
Zeros39
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:14.730901image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12
Q132
median45
Q361
95-th percentile86
Maximum99
Range99
Interquartile range (IQR)29

Descriptive statistics

Standard deviation21.52041936
Coefficient of variation (CV)0.4618930305
Kurtosis-0.3924427157
Mean46.59178195
Median Absolute Deviation (MAD)14
Skewness0.2131199829
Sum225644
Variance463.1284496
MonotonicityNot monotonic
2022-11-23T19:36:14.801828image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36119
 
2.5%
38113
 
2.3%
37112
 
2.3%
39109
 
2.3%
44102
 
2.1%
46100
 
2.1%
3399
 
2.0%
4299
 
2.0%
4398
 
2.0%
4897
 
2.0%
Other values (90)3795
78.4%
ValueCountFrequency (%)
039
0.8%
19
 
0.2%
215
 
0.3%
319
0.4%
413
 
0.3%
ValueCountFrequency (%)
9910
0.2%
988
0.2%
9710
0.2%
9615
0.3%
9516
0.3%

RHP1
Real number (ℝ≥0)

Distinct70
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.40223002
Minimum0
Maximum84
Zeros34
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:14.874052image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile38
Q148
median53
Q359
95-th percentile71
Maximum84
Range84
Interquartile range (IQR)11

Descriptive statistics

Standard deviation10.63051937
Coefficient of variation (CV)0.1990650834
Kurtosis4.044215921
Mean53.40223002
Median Absolute Deviation (MAD)5
Skewness-0.631599799
Sum258627
Variance113.0079422
MonotonicityNot monotonic
2022-11-23T19:36:14.941800image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
49277
 
5.7%
52257
 
5.3%
50249
 
5.1%
53237
 
4.9%
48231
 
4.8%
54225
 
4.6%
51220
 
4.5%
55211
 
4.4%
47202
 
4.2%
56199
 
4.1%
Other values (60)2535
52.3%
ValueCountFrequency (%)
034
0.7%
81
 
< 0.1%
131
 
< 0.1%
181
 
< 0.1%
191
 
< 0.1%
ValueCountFrequency (%)
843
 
0.1%
838
0.2%
8215
0.3%
8112
0.2%
8017
0.4%

RHP2
Real number (ℝ≥0)

Distinct71
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.12967169
Minimum0
Maximum88
Zeros34
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:15.012866image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile38
Q149
median54
Q360
95-th percentile70.9
Maximum88
Range88
Interquartile range (IQR)11

Descriptive statistics

Standard deviation10.22607489
Coefficient of variation (CV)0.1889181029
Kurtosis5.006836608
Mean54.12967169
Median Absolute Deviation (MAD)5
Skewness-0.9134130124
Sum262150
Variance104.5726076
MonotonicityNot monotonic
2022-11-23T19:36:15.080590image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
54283
 
5.8%
53282
 
5.8%
52276
 
5.7%
51260
 
5.4%
55245
 
5.1%
50234
 
4.8%
56206
 
4.3%
49204
 
4.2%
57193
 
4.0%
59180
 
3.7%
Other values (61)2480
51.2%
ValueCountFrequency (%)
034
0.7%
141
 
< 0.1%
161
 
< 0.1%
202
 
< 0.1%
212
 
< 0.1%
ValueCountFrequency (%)
882
 
< 0.1%
861
 
< 0.1%
851
 
< 0.1%
842
 
< 0.1%
835
0.1%

RHP3
Real number (ℝ≥0)

Distinct22
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.10468718
Minimum0
Maximum61
Zeros32
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:15.141422image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11
Q113
median14
Q315
95-th percentile18
Maximum61
Range61
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.540458398
Coefficient of variation (CV)0.1801144801
Kurtosis30.65491774
Mean14.10468718
Median Absolute Deviation (MAD)1
Skewness0.7887339583
Sum68309
Variance6.453928873
MonotonicityNot monotonic
2022-11-23T19:36:15.193785image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
141096
22.6%
13921
19.0%
15815
16.8%
12508
10.5%
16504
10.4%
17258
 
5.3%
10204
 
4.2%
11193
 
4.0%
18139
 
2.9%
1968
 
1.4%
Other values (12)137
 
2.8%
ValueCountFrequency (%)
032
 
0.7%
10204
 
4.2%
11193
 
4.0%
12508
10.5%
13921
19.0%
ValueCountFrequency (%)
611
< 0.1%
331
< 0.1%
291
< 0.1%
281
< 0.1%
271
< 0.1%

RHP4
Real number (ℝ≥0)

Distinct15
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.333677473
Minimum0
Maximum14
Zeros35
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:15.319127image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q14
median4
Q35
95-th percentile6
Maximum14
Range14
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.132193574
Coefficient of variation (CV)0.2612546922
Kurtosis10.61736793
Mean4.333677473
Median Absolute Deviation (MAD)1
Skewness1.393845511
Sum20988
Variance1.281862289
MonotonicityNot monotonic
2022-11-23T19:36:15.366669image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
42343
48.4%
51434
29.6%
3575
 
11.9%
6239
 
4.9%
271
 
1.5%
764
 
1.3%
035
 
0.7%
835
 
0.7%
914
 
0.3%
1110
 
0.2%
Other values (5)23
 
0.5%
ValueCountFrequency (%)
035
 
0.7%
18
 
0.2%
271
 
1.5%
3575
 
11.9%
42343
48.4%
ValueCountFrequency (%)
143
 
0.1%
131
 
< 0.1%
124
 
0.1%
1110
0.2%
107
0.1%

HUPA1
Real number (ℝ≥0)

ZEROS

Distinct79
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.831715879
Minimum0
Maximum91
Zeros943
Zeros (%)19.5%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:15.431101image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q314
95-th percentile35
Maximum91
Range91
Interquartile range (IQR)13

Descriptive statistics

Standard deviation12.30140756
Coefficient of variation (CV)1.251196405
Kurtosis5.222673848
Mean9.831715879
Median Absolute Deviation (MAD)5
Skewness2.035941476
Sum47615
Variance151.3246279
MonotonicityNot monotonic
2022-11-23T19:36:15.501233image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0943
19.5%
1482
 
10.0%
2344
 
7.1%
3268
 
5.5%
4234
 
4.8%
6199
 
4.1%
5197
 
4.1%
7158
 
3.3%
8147
 
3.0%
9143
 
3.0%
Other values (69)1728
35.7%
ValueCountFrequency (%)
0943
19.5%
1482
10.0%
2344
 
7.1%
3268
 
5.5%
4234
 
4.8%
ValueCountFrequency (%)
911
< 0.1%
841
< 0.1%
831
< 0.1%
821
< 0.1%
791
< 0.1%

HUPA2
Real number (ℝ≥0)

ZEROS

Distinct99
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.416064423
Minimum0
Maximum99
Zeros2236
Zeros (%)46.2%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:15.573419image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q311
95-th percentile48
Maximum99
Range99
Interquartile range (IQR)11

Descriptive statistics

Standard deviation17.14572133
Coefficient of variation (CV)1.820901022
Kurtosis6.949356811
Mean9.416064423
Median Absolute Deviation (MAD)1
Skewness2.55600996
Sum45602
Variance293.9757601
MonotonicityNot monotonic
2022-11-23T19:36:15.644505image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02236
46.2%
1315
 
6.5%
2227
 
4.7%
3188
 
3.9%
4136
 
2.8%
5120
 
2.5%
6100
 
2.1%
782
 
1.7%
969
 
1.4%
868
 
1.4%
Other values (89)1302
26.9%
ValueCountFrequency (%)
02236
46.2%
1315
 
6.5%
2227
 
4.7%
3188
 
3.9%
4136
 
2.8%
ValueCountFrequency (%)
995
0.1%
981
 
< 0.1%
973
0.1%
963
0.1%
952
 
< 0.1%

HUPA3
Real number (ℝ≥0)

ZEROS

Distinct93
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.594879207
Minimum0
Maximum99
Zeros2460
Zeros (%)50.8%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:15.717153image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q313
95-th percentile38
Maximum99
Range99
Interquartile range (IQR)13

Descriptive statistics

Standard deviation14.60594302
Coefficient of variation (CV)1.699377346
Kurtosis7.372920606
Mean8.594879207
Median Absolute Deviation (MAD)0
Skewness2.445338437
Sum41625
Variance213.3335715
MonotonicityNot monotonic
2022-11-23T19:36:15.788331image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02460
50.8%
1253
 
5.2%
2120
 
2.5%
4109
 
2.3%
393
 
1.9%
1082
 
1.7%
582
 
1.7%
680
 
1.7%
1175
 
1.5%
774
 
1.5%
Other values (83)1415
29.2%
ValueCountFrequency (%)
02460
50.8%
1253
 
5.2%
2120
 
2.5%
393
 
1.9%
4109
 
2.3%
ValueCountFrequency (%)
994
0.1%
971
 
< 0.1%
961
 
< 0.1%
941
 
< 0.1%
933
0.1%

HUPA4
Real number (ℝ≥0)

ZEROS

Distinct53
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.03468924
Minimum0
Maximum99
Zeros101
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:15.860625image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median10
Q315
95-th percentile25
Maximum99
Range99
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.604621687
Coefficient of variation (CV)0.6891559445
Kurtosis12.45091462
Mean11.03468924
Median Absolute Deviation (MAD)4
Skewness2.077808158
Sum53441
Variance57.83027101
MonotonicityNot monotonic
2022-11-23T19:36:15.932325image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7316
 
6.5%
9314
 
6.5%
6312
 
6.4%
8304
 
6.3%
10298
 
6.2%
5273
 
5.6%
4268
 
5.5%
11251
 
5.2%
12249
 
5.1%
13230
 
4.7%
Other values (43)2028
41.9%
ValueCountFrequency (%)
0101
 
2.1%
1100
 
2.1%
2156
3.2%
3220
4.5%
4268
5.5%
ValueCountFrequency (%)
991
< 0.1%
951
< 0.1%
881
< 0.1%
801
< 0.1%
671
< 0.1%

HUPA5
Real number (ℝ≥0)

ZEROS

Distinct53
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.995663845
Minimum0
Maximum71
Zeros1317
Zeros (%)27.2%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:16.004395image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q37
95-th percentile19
Maximum71
Range71
Interquartile range (IQR)7

Descriptive statistics

Standard deviation7.078028977
Coefficient of variation (CV)1.416834518
Kurtosis9.157814789
Mean4.995663845
Median Absolute Deviation (MAD)2
Skewness2.60419137
Sum24194
Variance50.09849421
MonotonicityNot monotonic
2022-11-23T19:36:16.075432image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01317
27.2%
1711
14.7%
2452
 
9.3%
3374
 
7.7%
4286
 
5.9%
5231
 
4.8%
6214
 
4.4%
7188
 
3.9%
8153
 
3.2%
9113
 
2.3%
Other values (43)804
16.6%
ValueCountFrequency (%)
01317
27.2%
1711
14.7%
2452
 
9.3%
3374
 
7.7%
4286
 
5.9%
ValueCountFrequency (%)
711
< 0.1%
561
< 0.1%
521
< 0.1%
511
< 0.1%
501
< 0.1%

HUPA6
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.94734669
Minimum0
Maximum99
Zeros1893
Zeros (%)39.1%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:16.152121image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q315
95-th percentile51
Maximum99
Range99
Interquartile range (IQR)15

Descriptive statistics

Standard deviation17.62244338
Coefficient of variation (CV)1.609745621
Kurtosis5.161552987
Mean10.94734669
Median Absolute Deviation (MAD)2
Skewness2.231846665
Sum53018
Variance310.5505108
MonotonicityNot monotonic
2022-11-23T19:36:16.222498image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01893
39.1%
1282
 
5.8%
2260
 
5.4%
3185
 
3.8%
4165
 
3.4%
5126
 
2.6%
7102
 
2.1%
697
 
2.0%
894
 
1.9%
992
 
1.9%
Other values (90)1547
31.9%
ValueCountFrequency (%)
01893
39.1%
1282
 
5.8%
2260
 
5.4%
3185
 
3.8%
4165
 
3.4%
ValueCountFrequency (%)
994
0.1%
982
< 0.1%
972
< 0.1%
962
< 0.1%
952
< 0.1%

HUPA7
Real number (ℝ≥0)

ZEROS

Distinct30
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.610984927
Minimum0
Maximum46
Zeros2849
Zeros (%)58.8%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:16.357335image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile7
Maximum46
Range46
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.026084302
Coefficient of variation (CV)1.878406341
Kurtosis29.99174528
Mean1.610984927
Median Absolute Deviation (MAD)0
Skewness3.983649625
Sum7802
Variance9.157186204
MonotonicityNot monotonic
2022-11-23T19:36:16.416401image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
02849
58.8%
1499
 
10.3%
2353
 
7.3%
3305
 
6.3%
4236
 
4.9%
5173
 
3.6%
6119
 
2.5%
786
 
1.8%
860
 
1.2%
941
 
0.8%
Other values (20)122
 
2.5%
ValueCountFrequency (%)
02849
58.8%
1499
 
10.3%
2353
 
7.3%
3305
 
6.3%
4236
 
4.9%
ValueCountFrequency (%)
461
< 0.1%
421
< 0.1%
322
< 0.1%
282
< 0.1%
271
< 0.1%

RP1
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.80838323
Minimum0
Maximum99
Zeros704
Zeros (%)14.5%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:16.484191image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median18
Q359
95-th percentile94
Maximum99
Range99
Interquartile range (IQR)57

Descriptive statistics

Standard deviation32.97521437
Coefficient of variation (CV)1.036683132
Kurtosis-0.9839124789
Mean31.80838323
Median Absolute Deviation (MAD)18
Skewness0.7056011344
Sum154048
Variance1087.364762
MonotonicityNot monotonic
2022-11-23T19:36:16.555185image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0704
 
14.5%
1348
 
7.2%
2213
 
4.4%
3175
 
3.6%
4121
 
2.5%
5107
 
2.2%
684
 
1.7%
881
 
1.7%
780
 
1.7%
966
 
1.4%
Other values (90)2864
59.1%
ValueCountFrequency (%)
0704
14.5%
1348
7.2%
2213
 
4.4%
3175
 
3.6%
4121
 
2.5%
ValueCountFrequency (%)
9936
0.7%
9833
0.7%
9743
0.9%
9645
0.9%
9544
0.9%

RP2
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.37662606
Minimum0
Maximum99
Zeros278
Zeros (%)5.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:16.627385image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19
median42
Q381
95-th percentile96
Maximum99
Range99
Interquartile range (IQR)72

Descriptive statistics

Standard deviation35.05913172
Coefficient of variation (CV)0.7726253528
Kurtosis-1.538018058
Mean45.37662606
Median Absolute Deviation (MAD)35
Skewness0.1170849804
Sum219759
Variance1229.142717
MonotonicityNot monotonic
2022-11-23T19:36:16.698450image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0278
 
5.7%
1180
 
3.7%
2144
 
3.0%
3132
 
2.7%
96103
 
2.1%
493
 
1.9%
9588
 
1.8%
788
 
1.8%
584
 
1.7%
682
 
1.7%
Other values (90)3571
73.7%
ValueCountFrequency (%)
0278
5.7%
1180
3.7%
2144
3.0%
3132
2.7%
493
 
1.9%
ValueCountFrequency (%)
9973
1.5%
9873
1.5%
9774
1.5%
96103
2.1%
9588
1.8%

RP3
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.23373942
Minimum0
Maximum99
Zeros83
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:16.770342image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q134
median73
Q392
95-th percentile98
Maximum99
Range99
Interquartile range (IQR)58

Descriptive statistics

Standard deviation32.30486939
Coefficient of variation (CV)0.5190893186
Kurtosis-1.147564514
Mean62.23373942
Median Absolute Deviation (MAD)22
Skewness-0.5385601964
Sum301398
Variance1043.604586
MonotonicityNot monotonic
2022-11-23T19:36:16.843593image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99201
 
4.2%
98180
 
3.7%
97169
 
3.5%
96165
 
3.4%
95159
 
3.3%
94137
 
2.8%
93120
 
2.5%
92117
 
2.4%
88107
 
2.2%
9195
 
2.0%
Other values (90)3393
70.1%
ValueCountFrequency (%)
083
1.7%
120
 
0.4%
239
0.8%
350
1.0%
454
1.1%
ValueCountFrequency (%)
99201
4.2%
98180
3.7%
97169
3.5%
96165
3.4%
95159
3.3%

RP4
Real number (ℝ≥0)

Distinct99
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.02002891
Minimum0
Maximum99
Zeros43
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:16.921058image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile26
Q168
median88
Q396
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)28

Descriptive statistics

Standard deviation23.51370828
Coefficient of variation (CV)0.3013804097
Kurtosis1.191550089
Mean78.02002891
Median Absolute Deviation (MAD)10
Skewness-1.393339863
Sum377851
Variance552.8944769
MonotonicityNot monotonic
2022-11-23T19:36:16.993690image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99410
 
8.5%
98314
 
6.5%
97279
 
5.8%
96262
 
5.4%
95229
 
4.7%
94206
 
4.3%
92151
 
3.1%
93140
 
2.9%
89127
 
2.6%
90119
 
2.5%
Other values (89)2606
53.8%
ValueCountFrequency (%)
043
0.9%
21
 
< 0.1%
34
 
0.1%
44
 
0.1%
55
 
0.1%
ValueCountFrequency (%)
99410
8.5%
98314
6.5%
97279
5.8%
96262
5.4%
95229
4.7%

MSA
Real number (ℝ≥0)

ZEROS

Distinct247
Distinct (%)5.1%
Missing6
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean3664.273103
Minimum0
Maximum9360
Zeros1063
Zeros (%)21.9%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:17.066585image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1600
median3480
Q36200
95-th percentile8280
Maximum9360
Range9360
Interquartile range (IQR)5600

Descriptive statistics

Standard deviation2893.86471
Coefficient of variation (CV)0.7897513718
Kurtosis-1.344666633
Mean3664.273103
Median Absolute Deviation (MAD)2840
Skewness0.1470182681
Sum17724089
Variance8374452.958
MonotonicityNot monotonic
2022-11-23T19:36:17.135536image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01063
 
21.9%
4480245
 
5.1%
1600184
 
3.8%
2160117
 
2.4%
5945109
 
2.3%
7320102
 
2.1%
678084
 
1.7%
52079
 
1.6%
828076
 
1.6%
620075
 
1.5%
Other values (237)2703
55.8%
ValueCountFrequency (%)
01063
21.9%
20021
 
0.4%
3201
 
< 0.1%
3805
 
0.1%
44017
 
0.4%
ValueCountFrequency (%)
93601
 
< 0.1%
93403
0.1%
92705
0.1%
92602
 
< 0.1%
92007
0.1%

ADI
Real number (ℝ≥0)

Distinct178
Distinct (%)3.7%
Missing6
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean182.3417407
Minimum0
Maximum645
Zeros39
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:17.205352image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13
Q165
median133
Q3277
95-th percentile439
Maximum645
Range645
Interquartile range (IQR)212

Descriptive statistics

Standard deviation139.0935607
Coefficient of variation (CV)0.762817993
Kurtosis-0.08570361797
Mean182.3417407
Median Absolute Deviation (MAD)82
Skewness0.7474762779
Sum881987
Variance19347.01863
MonotonicityNot monotonic
2022-11-23T19:36:17.273618image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13432
 
8.9%
65235
 
4.9%
51211
 
4.4%
105144
 
3.0%
57132
 
2.7%
109119
 
2.5%
67112
 
2.3%
131105
 
2.2%
197104
 
2.1%
15102
 
2.1%
Other values (168)3141
64.9%
ValueCountFrequency (%)
039
 
0.8%
93
 
0.1%
111
 
< 0.1%
13432
8.9%
15102
 
2.1%
ValueCountFrequency (%)
64519
0.4%
6271
 
< 0.1%
6252
 
< 0.1%
6215
 
0.1%
6134
 
0.1%

DMA
Real number (ℝ≥0)

Distinct179
Distinct (%)3.7%
Missing6
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean675.2877817
Minimum0
Maximum881
Zeros7
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:17.419815image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile517
Q1567
median650
Q3803
95-th percentile839
Maximum881
Range881
Interquartile range (IQR)236

Descriptive statistics

Standard deviation118.1856685
Coefficient of variation (CV)0.1750152627
Kurtosis-0.04624887638
Mean675.2877817
Median Absolute Deviation (MAD)111
Skewness-0.1491247379
Sum3266367
Variance13967.85223
MonotonicityNot monotonic
2022-11-23T19:36:17.489420image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
803432
 
8.9%
807235
 
4.9%
602211
 
4.4%
819142
 
2.9%
505132
 
2.7%
539124
 
2.6%
623115
 
2.4%
862112
 
2.3%
524104
 
2.1%
825102
 
2.1%
Other values (169)3128
64.6%
ValueCountFrequency (%)
07
 
0.1%
5013
 
0.1%
50311
 
0.2%
5041
 
< 0.1%
505132
2.7%
ValueCountFrequency (%)
88137
 
0.8%
86822
 
0.5%
86630
 
0.6%
862112
2.3%
85530
 
0.6%

IC1
Real number (ℝ≥0)

Distinct727
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean352.8319224
Minimum0
Maximum1500
Zeros35
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:17.561288image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile160
Q1239
median318
Q3427
95-th percentile657.8
Maximum1500
Range1500
Interquartile range (IQR)188

Descriptive statistics

Standard deviation171.3575465
Coefficient of variation (CV)0.4856633872
Kurtosis7.031012575
Mean352.8319224
Median Absolute Deviation (MAD)92
Skewness1.85484268
Sum1708765
Variance29363.40875
MonotonicityNot monotonic
2022-11-23T19:36:17.629729image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
035
 
0.7%
21327
 
0.6%
26725
 
0.5%
23225
 
0.5%
25025
 
0.5%
24424
 
0.5%
30524
 
0.5%
31323
 
0.5%
20522
 
0.5%
24722
 
0.5%
Other values (717)4591
94.8%
ValueCountFrequency (%)
035
0.7%
531
 
< 0.1%
551
 
< 0.1%
601
 
< 0.1%
631
 
< 0.1%
ValueCountFrequency (%)
15009
0.2%
14901
 
< 0.1%
13951
 
< 0.1%
13861
 
< 0.1%
13761
 
< 0.1%

IC2
Real number (ℝ≥0)

Distinct747
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean401.9136899
Minimum0
Maximum1500
Zeros36
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:17.703596image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile193
Q1283
median366
Q3481
95-th percentile727.9
Maximum1500
Range1500
Interquartile range (IQR)198

Descriptive statistics

Standard deviation182.6600784
Coefficient of variation (CV)0.4544758813
Kurtosis6.683468509
Mean401.9136899
Median Absolute Deviation (MAD)96
Skewness1.84678069
Sum1946468
Variance33364.70424
MonotonicityNot monotonic
2022-11-23T19:36:17.772237image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
036
 
0.7%
28828
 
0.6%
36324
 
0.5%
25623
 
0.5%
30423
 
0.5%
35422
 
0.5%
30722
 
0.5%
30822
 
0.5%
31821
 
0.4%
31121
 
0.4%
Other values (737)4601
95.0%
ValueCountFrequency (%)
036
0.7%
501
 
< 0.1%
601
 
< 0.1%
681
 
< 0.1%
722
 
< 0.1%
ValueCountFrequency (%)
150013
0.3%
14961
 
< 0.1%
14741
 
< 0.1%
14691
 
< 0.1%
14451
 
< 0.1%

IC3
Real number (ℝ≥0)

Distinct738
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean400.9622135
Minimum0
Maximum1394
Zeros35
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:17.844786image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile208
Q1287
median366
Q3482.5
95-th percentile721.9
Maximum1394
Range1394
Interquartile range (IQR)195.5

Descriptive statistics

Standard deviation166.6819126
Coefficient of variation (CV)0.4157047896
Kurtosis2.63739353
Mean400.9622135
Median Absolute Deviation (MAD)91
Skewness1.235057869
Sum1941860
Variance27782.85999
MonotonicityNot monotonic
2022-11-23T19:36:17.912150image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
035
 
0.7%
33328
 
0.6%
30325
 
0.5%
29524
 
0.5%
32524
 
0.5%
30623
 
0.5%
34923
 
0.5%
27622
 
0.5%
28822
 
0.5%
28121
 
0.4%
Other values (728)4596
94.9%
ValueCountFrequency (%)
035
0.7%
631
 
< 0.1%
891
 
< 0.1%
921
 
< 0.1%
931
 
< 0.1%
ValueCountFrequency (%)
13941
< 0.1%
13111
< 0.1%
12891
< 0.1%
12751
< 0.1%
12141
< 0.1%

IC4
Real number (ℝ≥0)

Distinct769
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean446.0351022
Minimum0
Maximum1394
Zeros36
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:17.984727image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile236
Q1325
median411
Q3531.5
95-th percentile786
Maximum1394
Range1394
Interquartile range (IQR)206.5

Descriptive statistics

Standard deviation176.6891279
Coefficient of variation (CV)0.3961327865
Kurtosis2.325278589
Mean446.0351022
Median Absolute Deviation (MAD)97
Skewness1.15670465
Sum2160148
Variance31219.04792
MonotonicityNot monotonic
2022-11-23T19:36:18.054399image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
036
 
0.7%
35626
 
0.5%
37626
 
0.5%
31324
 
0.5%
31923
 
0.5%
29923
 
0.5%
38623
 
0.5%
36222
 
0.5%
39922
 
0.5%
35421
 
0.4%
Other values (759)4597
94.9%
ValueCountFrequency (%)
036
0.7%
741
 
< 0.1%
891
 
< 0.1%
931
 
< 0.1%
941
 
< 0.1%
ValueCountFrequency (%)
13941
< 0.1%
13771
< 0.1%
13311
< 0.1%
12821
< 0.1%
12731
< 0.1%

IC5
Real number (ℝ≥0)

Distinct4111
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16483.86248
Minimum0
Maximum174523
Zeros35
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:18.130326image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7925.8
Q111164
median14377
Q318819.5
95-th percentile32090
Maximum174523
Range174523
Interquartile range (IQR)7655.5

Descriptive statistics

Standard deviation9499.090544
Coefficient of variation (CV)0.5762660635
Kurtosis34.17302249
Mean16483.86248
Median Absolute Deviation (MAD)3665
Skewness4.064768964
Sum79831346
Variance90232721.16
MonotonicityNot monotonic
2022-11-23T19:36:18.201027image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
035
 
0.7%
124524
 
0.1%
114624
 
0.1%
151114
 
0.1%
156404
 
0.1%
184924
 
0.1%
180424
 
0.1%
104194
 
0.1%
100504
 
0.1%
185254
 
0.1%
Other values (4101)4772
98.5%
ValueCountFrequency (%)
035
0.7%
28641
 
< 0.1%
37481
 
< 0.1%
39751
 
< 0.1%
42361
 
< 0.1%
ValueCountFrequency (%)
1745231
< 0.1%
1302951
< 0.1%
1062731
< 0.1%
1005281
< 0.1%
959131
< 0.1%

IC6
Real number (ℝ≥0)

ZEROS

Distinct83
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.59673756
Minimum0
Maximum97
Zeros107
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:18.277736image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110
median18
Q329
95-th percentile46
Maximum97
Range97
Interquartile range (IQR)19

Descriptive statistics

Standard deviation14.01574193
Coefficient of variation (CV)0.6804835909
Kurtosis0.9049015355
Mean20.59673756
Median Absolute Deviation (MAD)9
Skewness0.8959741483
Sum99750
Variance196.441022
MonotonicityNot monotonic
2022-11-23T19:36:18.349401image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11171
 
3.5%
9158
 
3.3%
13154
 
3.2%
6150
 
3.1%
5147
 
3.0%
10145
 
3.0%
12145
 
3.0%
16144
 
3.0%
15139
 
2.9%
19137
 
2.8%
Other values (73)3353
69.2%
ValueCountFrequency (%)
0107
2.2%
131
 
0.6%
2104
2.1%
3110
2.3%
4116
2.4%
ValueCountFrequency (%)
971
< 0.1%
911
< 0.1%
881
< 0.1%
851
< 0.1%
841
< 0.1%

IC7
Real number (ℝ≥0)

ZEROS

Distinct50
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.64092505
Minimum0
Maximum55
Zeros85
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:18.494102image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q111
median17
Q322
95-th percentile29
Maximum55
Range55
Interquartile range (IQR)11

Descriptive statistics

Standard deviation8.035913922
Coefficient of variation (CV)0.4829006741
Kurtosis-0.02817644882
Mean16.64092505
Median Absolute Deviation (MAD)6
Skewness0.1238714969
Sum80592
Variance64.57591257
MonotonicityNot monotonic
2022-11-23T19:36:18.559895image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21260
 
5.4%
18244
 
5.0%
19241
 
5.0%
20240
 
5.0%
22227
 
4.7%
14215
 
4.4%
16214
 
4.4%
23208
 
4.3%
15199
 
4.1%
17195
 
4.0%
Other values (40)2600
53.7%
ValueCountFrequency (%)
085
1.8%
127
 
0.6%
274
1.5%
392
1.9%
497
2.0%
ValueCountFrequency (%)
551
< 0.1%
531
< 0.1%
491
< 0.1%
482
< 0.1%
461
< 0.1%

IC8
Real number (ℝ≥0)

ZEROS

Distinct43
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.53252116
Minimum0
Maximum47
Zeros80
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:18.627606image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q112
median16
Q319
95-th percentile26
Maximum47
Range47
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.275507683
Coefficient of variation (CV)0.4040237651
Kurtosis0.6057903346
Mean15.53252116
Median Absolute Deviation (MAD)4
Skewness0.06620315112
Sum75224
Variance39.38199668
MonotonicityNot monotonic
2022-11-23T19:36:18.693261image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
16367
 
7.6%
17352
 
7.3%
18342
 
7.1%
14327
 
6.8%
15314
 
6.5%
19304
 
6.3%
13278
 
5.7%
12260
 
5.4%
11224
 
4.6%
20219
 
4.5%
Other values (33)1856
38.3%
ValueCountFrequency (%)
080
1.7%
112
 
0.2%
235
0.7%
340
0.8%
464
1.3%
ValueCountFrequency (%)
471
 
< 0.1%
461
 
< 0.1%
441
 
< 0.1%
431
 
< 0.1%
384
0.1%

IC9
Real number (ℝ≥0)

ZEROS

Distinct51
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.3836465
Minimum0
Maximum59
Zeros68
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:18.762205image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q114
median18
Q323
95-th percentile31
Maximum59
Range59
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.301824626
Coefficient of variation (CV)0.3971913095
Kurtosis0.6738575939
Mean18.3836465
Median Absolute Deviation (MAD)5
Skewness0.2704671216
Sum89032
Variance53.31664288
MonotonicityNot monotonic
2022-11-23T19:36:18.830786image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17305
 
6.3%
16274
 
5.7%
19260
 
5.4%
14260
 
5.4%
18258
 
5.3%
15258
 
5.3%
21252
 
5.2%
20247
 
5.1%
22243
 
5.0%
13206
 
4.3%
Other values (41)2280
47.1%
ValueCountFrequency (%)
068
1.4%
11
 
< 0.1%
213
 
0.3%
321
 
0.4%
430
0.6%
ValueCountFrequency (%)
591
< 0.1%
551
< 0.1%
511
< 0.1%
481
< 0.1%
471
< 0.1%

IC10
Real number (ℝ≥0)

ZEROS

Distinct55
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.45777411
Minimum0
Maximum99
Zeros122
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:18.904812image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q19
median15
Q323
95-th percentile34
Maximum99
Range99
Interquartile range (IQR)14

Descriptive statistics

Standard deviation9.677728521
Coefficient of variation (CV)0.5880338652
Kurtosis0.9771430863
Mean16.45777411
Median Absolute Deviation (MAD)7
Skewness0.6954780903
Sum79705
Variance93.65842933
MonotonicityNot monotonic
2022-11-23T19:36:18.975551image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9231
 
4.8%
7223
 
4.6%
15208
 
4.3%
8207
 
4.3%
14196
 
4.0%
10194
 
4.0%
12192
 
4.0%
11189
 
3.9%
13188
 
3.9%
18188
 
3.9%
Other values (45)2827
58.4%
ValueCountFrequency (%)
0122
2.5%
121
 
0.4%
251
1.1%
383
1.7%
4106
2.2%
ValueCountFrequency (%)
991
 
< 0.1%
681
 
< 0.1%
521
 
< 0.1%
511
 
< 0.1%
503
0.1%

IC11
Real number (ℝ≥0)

ZEROS

Distinct39
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.014247367
Minimum0
Maximum53
Zeros666
Zeros (%)13.8%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:19.041954image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q39
95-th percentile19
Maximum53
Range53
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.026994502
Coefficient of variation (CV)1.00211949
Kurtosis3.002770162
Mean6.014247367
Median Absolute Deviation (MAD)3
Skewness1.559053547
Sum29127
Variance36.32466273
MonotonicityNot monotonic
2022-11-23T19:36:19.107735image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0666
13.8%
2614
12.7%
3465
9.6%
1447
9.2%
4359
 
7.4%
5333
 
6.9%
6273
 
5.6%
7236
 
4.9%
9189
 
3.9%
8183
 
3.8%
Other values (29)1078
22.3%
ValueCountFrequency (%)
0666
13.8%
1447
9.2%
2614
12.7%
3465
9.6%
4359
7.4%
ValueCountFrequency (%)
531
 
< 0.1%
391
 
< 0.1%
371
 
< 0.1%
363
0.1%
351
 
< 0.1%

IC12
Real number (ℝ≥0)

ZEROS

Distinct25
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.387776172
Minimum0
Maximum29
Zeros1823
Zeros (%)37.6%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:19.168669image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile10
Maximum29
Range29
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.41890643
Coefficient of variation (CV)1.431837067
Kurtosis6.120251498
Mean2.387776172
Median Absolute Deviation (MAD)1
Skewness2.264637095
Sum11564
Variance11.68892118
MonotonicityNot monotonic
2022-11-23T19:36:19.223172image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
01823
37.6%
1919
19.0%
2635
 
13.1%
3355
 
7.3%
4259
 
5.3%
5189
 
3.9%
6128
 
2.6%
7107
 
2.2%
896
 
2.0%
983
 
1.7%
Other values (15)249
 
5.1%
ValueCountFrequency (%)
01823
37.6%
1919
19.0%
2635
 
13.1%
3355
 
7.3%
4259
 
5.3%
ValueCountFrequency (%)
291
 
< 0.1%
231
 
< 0.1%
223
0.1%
211
 
< 0.1%
203
0.1%

IC13
Real number (ℝ≥0)

ZEROS

Distinct20
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.067520132
Minimum0
Maximum21
Zeros2915
Zeros (%)60.2%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:19.280723image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum21
Range21
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.018037258
Coefficient of variation (CV)1.890397377
Kurtosis14.57091805
Mean1.067520132
Median Absolute Deviation (MAD)0
Skewness3.224299645
Sum5170
Variance4.072474374
MonotonicityNot monotonic
2022-11-23T19:36:19.332845image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
02915
60.2%
1809
 
16.7%
2437
 
9.0%
3218
 
4.5%
4164
 
3.4%
596
 
2.0%
662
 
1.3%
744
 
0.9%
832
 
0.7%
919
 
0.4%
Other values (10)47
 
1.0%
ValueCountFrequency (%)
02915
60.2%
1809
 
16.7%
2437
 
9.0%
3218
 
4.5%
4164
 
3.4%
ValueCountFrequency (%)
211
 
< 0.1%
201
 
< 0.1%
172
< 0.1%
162
< 0.1%
153
0.1%

IC14
Real number (ℝ≥0)

ZEROS

Distinct54
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.187280611
Minimum0
Maximum82
Zeros2471
Zeros (%)51.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:19.398046image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile10
Maximum82
Range82
Interquartile range (IQR)2

Descriptive statistics

Standard deviation5.425343569
Coefficient of variation (CV)2.480405825
Kurtosis46.67696091
Mean2.187280611
Median Absolute Deviation (MAD)0
Skewness5.809749336
Sum10593
Variance29.43435285
MonotonicityNot monotonic
2022-11-23T19:36:19.539238image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02471
51.0%
1885
 
18.3%
2479
 
9.9%
3263
 
5.4%
4144
 
3.0%
5116
 
2.4%
6103
 
2.1%
752
 
1.1%
841
 
0.8%
936
 
0.7%
Other values (44)253
 
5.2%
ValueCountFrequency (%)
02471
51.0%
1885
 
18.3%
2479
 
9.9%
3263
 
5.4%
4144
 
3.0%
ValueCountFrequency (%)
821
< 0.1%
701
< 0.1%
681
< 0.1%
641
< 0.1%
551
< 0.1%

IC15
Real number (ℝ≥0)

ZEROS

Distinct70
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.88395623
Minimum0
Maximum99
Zeros285
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:19.611448image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median11
Q320
95-th percentile36
Maximum99
Range99
Interquartile range (IQR)15

Descriptive statistics

Standard deviation11.55368182
Coefficient of variation (CV)0.8321606347
Kurtosis2.511778285
Mean13.88395623
Median Absolute Deviation (MAD)7
Skewness1.329370304
Sum67240
Variance133.4875637
MonotonicityNot monotonic
2022-11-23T19:36:19.682489image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0285
 
5.9%
4258
 
5.3%
5245
 
5.1%
7228
 
4.7%
6227
 
4.7%
9226
 
4.7%
3223
 
4.6%
2206
 
4.3%
8186
 
3.8%
10173
 
3.6%
Other values (60)2586
53.4%
ValueCountFrequency (%)
0285
5.9%
191
 
1.9%
2206
4.3%
3223
4.6%
4258
5.3%
ValueCountFrequency (%)
991
< 0.1%
901
< 0.1%
841
< 0.1%
751
< 0.1%
681
< 0.1%

IC16
Real number (ℝ≥0)

ZEROS

Distinct57
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.58579393
Minimum0
Maximum99
Zeros164
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:19.755136image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q18
median15
Q322
95-th percentile31
Maximum99
Range99
Interquartile range (IQR)14

Descriptive statistics

Standard deviation9.274677417
Coefficient of variation (CV)0.5950725038
Kurtosis1.574506663
Mean15.58579393
Median Absolute Deviation (MAD)7
Skewness0.6336619139
Sum75482
Variance86.01964119
MonotonicityNot monotonic
2022-11-23T19:36:19.828315image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18212
 
4.4%
20198
 
4.1%
13193
 
4.0%
9192
 
4.0%
14191
 
3.9%
8190
 
3.9%
11190
 
3.9%
19184
 
3.8%
16178
 
3.7%
7177
 
3.7%
Other values (47)2938
60.7%
ValueCountFrequency (%)
0164
3.4%
142
 
0.9%
2112
2.3%
3127
2.6%
4123
2.5%
ValueCountFrequency (%)
991
< 0.1%
651
< 0.1%
611
< 0.1%
601
< 0.1%
591
< 0.1%

IC17
Real number (ℝ≥0)

ZEROS

Distinct50
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.14928763
Minimum0
Maximum99
Zeros134
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:19.902822image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q111
median16
Q321
95-th percentile28
Maximum99
Range99
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.681563366
Coefficient of variation (CV)0.4756595796
Kurtosis3.15872962
Mean16.14928763
Median Absolute Deviation (MAD)5
Skewness0.4461667726
Sum78211
Variance59.00641575
MonotonicityNot monotonic
2022-11-23T19:36:19.974106image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18293
 
6.0%
13263
 
5.4%
21258
 
5.3%
14255
 
5.3%
16254
 
5.2%
19251
 
5.2%
17248
 
5.1%
20243
 
5.0%
15239
 
4.9%
23183
 
3.8%
Other values (40)2356
48.6%
ValueCountFrequency (%)
0134
2.8%
112
 
0.2%
251
 
1.1%
347
 
1.0%
484
1.7%
ValueCountFrequency (%)
991
< 0.1%
601
< 0.1%
571
< 0.1%
501
< 0.1%
462
< 0.1%

IC18
Real number (ℝ≥0)

ZEROS

Distinct59
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.63039438
Minimum0
Maximum99
Zeros93
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:20.046615image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q115
median21
Q326
95-th percentile34
Maximum99
Range99
Interquartile range (IQR)11

Descriptive statistics

Standard deviation8.439991616
Coefficient of variation (CV)0.4091047151
Kurtosis2.233392276
Mean20.63039438
Median Absolute Deviation (MAD)5
Skewness0.3541870603
Sum99913
Variance71.23345848
MonotonicityNot monotonic
2022-11-23T19:36:20.117778image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22262
 
5.4%
21256
 
5.3%
19254
 
5.2%
20245
 
5.1%
18236
 
4.9%
17225
 
4.6%
23221
 
4.6%
16210
 
4.3%
24210
 
4.3%
26201
 
4.2%
Other values (49)2523
52.1%
ValueCountFrequency (%)
093
1.9%
13
 
0.1%
24
 
0.1%
318
 
0.4%
421
 
0.4%
ValueCountFrequency (%)
991
< 0.1%
671
< 0.1%
612
< 0.1%
591
< 0.1%
561
< 0.1%

IC19
Real number (ℝ≥0)

ZEROS

Distinct58
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.24365063
Minimum0
Maximum99
Zeros145
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:20.190120image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q111
median18
Q327
95-th percentile37
Maximum99
Range99
Interquartile range (IQR)16

Descriptive statistics

Standard deviation10.55835354
Coefficient of variation (CV)0.548666869
Kurtosis0.4882551504
Mean19.24365063
Median Absolute Deviation (MAD)8
Skewness0.4772773196
Sum93197
Variance111.4788295
MonotonicityNot monotonic
2022-11-23T19:36:20.262499image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10187
 
3.9%
16187
 
3.9%
15181
 
3.7%
9175
 
3.6%
20174
 
3.6%
11171
 
3.5%
13167
 
3.4%
12162
 
3.3%
17161
 
3.3%
18158
 
3.3%
Other values (48)3120
64.4%
ValueCountFrequency (%)
0145
3.0%
15
 
0.1%
240
 
0.8%
339
 
0.8%
458
 
1.2%
ValueCountFrequency (%)
991
< 0.1%
841
< 0.1%
581
< 0.1%
561
< 0.1%
542
< 0.1%

IC20
Real number (ℝ≥0)

ZEROS

Distinct42
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.026842866
Minimum0
Maximum42
Zeros758
Zeros (%)15.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:20.333690image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q310
95-th percentile21
Maximum42
Range42
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.828072603
Coefficient of variation (CV)0.9717127212
Kurtosis1.602412607
Mean7.026842866
Median Absolute Deviation (MAD)4
Skewness1.303854382
Sum34031
Variance46.62257547
MonotonicityNot monotonic
2022-11-23T19:36:20.398684image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0758
15.7%
2482
 
10.0%
3414
 
8.5%
4362
 
7.5%
5302
 
6.2%
1267
 
5.5%
6260
 
5.4%
7222
 
4.6%
8208
 
4.3%
9188
 
3.9%
Other values (32)1380
28.5%
ValueCountFrequency (%)
0758
15.7%
1267
 
5.5%
2482
10.0%
3414
8.5%
4362
7.5%
ValueCountFrequency (%)
421
< 0.1%
401
< 0.1%
392
< 0.1%
382
< 0.1%
372
< 0.1%

IC21
Real number (ℝ≥0)

ZEROS

Distinct27
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.827999174
Minimum0
Maximum31
Zeros1865
Zeros (%)38.5%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:20.460901image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile12
Maximum31
Range31
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.011850561
Coefficient of variation (CV)1.41861801
Kurtosis4.917203217
Mean2.827999174
Median Absolute Deviation (MAD)1
Skewness2.098079644
Sum13696
Variance16.09494492
MonotonicityNot monotonic
2022-11-23T19:36:20.589635image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
01865
38.5%
1685
 
14.1%
2578
 
11.9%
3402
 
8.3%
4280
 
5.8%
5192
 
4.0%
6139
 
2.9%
7120
 
2.5%
8112
 
2.3%
986
 
1.8%
Other values (17)384
 
7.9%
ValueCountFrequency (%)
01865
38.5%
1685
 
14.1%
2578
 
11.9%
3402
 
8.3%
4280
 
5.8%
ValueCountFrequency (%)
311
 
< 0.1%
251
 
< 0.1%
242
 
< 0.1%
235
0.1%
222
 
< 0.1%

IC22
Real number (ℝ≥0)

ZEROS

Distinct22
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.263473054
Minimum0
Maximum23
Zeros2939
Zeros (%)60.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:20.646497image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile6
Maximum23
Range23
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.381508707
Coefficient of variation (CV)1.884890778
Kurtosis12.47062853
Mean1.263473054
Median Absolute Deviation (MAD)0
Skewness3.019403886
Sum6119
Variance5.671583722
MonotonicityNot monotonic
2022-11-23T19:36:20.701227image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
02939
60.7%
1631
 
13.0%
2428
 
8.8%
3253
 
5.2%
4148
 
3.1%
5140
 
2.9%
693
 
1.9%
759
 
1.2%
841
 
0.8%
934
 
0.7%
Other values (12)77
 
1.6%
ValueCountFrequency (%)
02939
60.7%
1631
 
13.0%
2428
 
8.8%
3253
 
5.2%
4148
 
3.1%
ValueCountFrequency (%)
231
 
< 0.1%
221
 
< 0.1%
203
0.1%
181
 
< 0.1%
174
0.1%

IC23
Real number (ℝ≥0)

ZEROS

Distinct58
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.636382408
Minimum0
Maximum87
Zeros2511
Zeros (%)51.8%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:20.766738image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile12
Maximum87
Range87
Interquartile range (IQR)2

Descriptive statistics

Standard deviation6.348489486
Coefficient of variation (CV)2.408030591
Kurtosis34.87139147
Mean2.636382408
Median Absolute Deviation (MAD)0
Skewness5.11027407
Sum12768
Variance40.30331876
MonotonicityNot monotonic
2022-11-23T19:36:20.835282image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02511
51.8%
1699
 
14.4%
2441
 
9.1%
3285
 
5.9%
4191
 
3.9%
6101
 
2.1%
599
 
2.0%
780
 
1.7%
856
 
1.2%
953
 
1.1%
Other values (48)327
 
6.8%
ValueCountFrequency (%)
02511
51.8%
1699
 
14.4%
2441
 
9.1%
3285
 
5.9%
4191
 
3.9%
ValueCountFrequency (%)
871
< 0.1%
702
< 0.1%
691
< 0.1%
611
< 0.1%
581
< 0.1%

HHAS1
Real number (ℝ≥0)

Distinct96
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.13359488
Minimum0
Maximum99
Zeros48
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:20.907025image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q117
median26
Q335
95-th percentile52
Maximum99
Range99
Interquartile range (IQR)18

Descriptive statistics

Standard deviation14.21964773
Coefficient of variation (CV)0.5240605897
Kurtosis1.940712321
Mean27.13359488
Median Absolute Deviation (MAD)9
Skewness0.9257438803
Sum131408
Variance202.1983817
MonotonicityNot monotonic
2022-11-23T19:36:20.979144image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24156
 
3.2%
27148
 
3.1%
31148
 
3.1%
30147
 
3.0%
28144
 
3.0%
26143
 
3.0%
21142
 
2.9%
29138
 
2.8%
25137
 
2.8%
33137
 
2.8%
Other values (86)3403
70.3%
ValueCountFrequency (%)
048
1.0%
17
 
0.1%
216
 
0.3%
317
 
0.4%
439
0.8%
ValueCountFrequency (%)
991
 
< 0.1%
961
 
< 0.1%
951
 
< 0.1%
933
0.1%
921
 
< 0.1%

HHAS2
Real number (ℝ≥0)

ZEROS

Distinct46
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.760479042
Minimum0
Maximum55
Zeros518
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:21.049362image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q38
95-th percentile16
Maximum55
Range55
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.731319992
Coefficient of variation (CV)0.9949380859
Kurtosis8.473298617
Mean5.760479042
Median Absolute Deviation (MAD)3
Skewness2.297384786
Sum27898
Variance32.84802885
MonotonicityNot monotonic
2022-11-23T19:36:21.112962image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
2602
12.4%
3556
11.5%
0518
10.7%
4490
10.1%
1401
8.3%
5396
8.2%
7303
 
6.3%
6293
 
6.0%
8214
 
4.4%
9209
 
4.3%
Other values (36)861
17.8%
ValueCountFrequency (%)
0518
10.7%
1401
8.3%
2602
12.4%
3556
11.5%
4490
10.1%
ValueCountFrequency (%)
551
< 0.1%
492
< 0.1%
451
< 0.1%
441
< 0.1%
421
< 0.1%

HHAS3
Real number (ℝ≥0)

Distinct94
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.45653521
Minimum0
Maximum97
Zeros44
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:21.184044image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18
Q133
median44
Q356
95-th percentile72
Maximum97
Range97
Interquartile range (IQR)23

Descriptive statistics

Standard deviation16.53191874
Coefficient of variation (CV)0.3718670081
Kurtosis-0.225777234
Mean44.45653521
Median Absolute Deviation (MAD)12
Skewness-0.0267282303
Sum215303
Variance273.3043372
MonotonicityNot monotonic
2022-11-23T19:36:21.255352image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
43123
 
2.5%
40121
 
2.5%
44120
 
2.5%
49118
 
2.4%
39117
 
2.4%
51116
 
2.4%
45114
 
2.4%
50113
 
2.3%
48112
 
2.3%
46110
 
2.3%
Other values (84)3679
76.0%
ValueCountFrequency (%)
044
0.9%
21
 
< 0.1%
31
 
< 0.1%
44
 
0.1%
57
 
0.1%
ValueCountFrequency (%)
971
< 0.1%
951
< 0.1%
921
< 0.1%
912
< 0.1%
902
< 0.1%

HHAS4
Real number (ℝ≥0)

ZEROS

Distinct64
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.988849886
Minimum0
Maximum72
Zeros220
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:21.326910image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median7
Q314
95-th percentile28
Maximum72
Range72
Interquartile range (IQR)11

Descriptive statistics

Standard deviation9.104666953
Coefficient of variation (CV)0.9114830092
Kurtosis4.63891665
Mean9.988849886
Median Absolute Deviation (MAD)5
Skewness1.798351209
Sum48376
Variance82.89496033
MonotonicityNot monotonic
2022-11-23T19:36:21.397492image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3391
 
8.1%
2352
 
7.3%
5347
 
7.2%
4342
 
7.1%
7299
 
6.2%
1261
 
5.4%
6253
 
5.2%
8238
 
4.9%
0220
 
4.5%
9196
 
4.0%
Other values (54)1944
40.1%
ValueCountFrequency (%)
0220
4.5%
1261
5.4%
2352
7.3%
3391
8.1%
4342
7.1%
ValueCountFrequency (%)
721
< 0.1%
691
< 0.1%
671
< 0.1%
661
< 0.1%
641
< 0.1%

MC1
Real number (ℝ≥0)

Distinct93
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.02374561
Minimum0
Maximum99
Zeros35
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:21.473874image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile27
Q138
median47
Q359
95-th percentile78
Maximum99
Range99
Interquartile range (IQR)21

Descriptive statistics

Standard deviation15.97229032
Coefficient of variation (CV)0.325807221
Kurtosis0.3872534659
Mean49.02374561
Median Absolute Deviation (MAD)10
Skewness0.3198718392
Sum237422
Variance255.1140581
MonotonicityNot monotonic
2022-11-23T19:36:21.545341image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46152
 
3.1%
40149
 
3.1%
50138
 
2.8%
39136
 
2.8%
47133
 
2.7%
49133
 
2.7%
36132
 
2.7%
48131
 
2.7%
41124
 
2.6%
42123
 
2.5%
Other values (83)3492
72.1%
ValueCountFrequency (%)
035
0.7%
71
 
< 0.1%
92
 
< 0.1%
101
 
< 0.1%
112
 
< 0.1%
ValueCountFrequency (%)
9910
0.2%
985
0.1%
973
 
0.1%
963
 
0.1%
956
0.1%

MC2
Real number (ℝ≥0)

Distinct93
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.25190997
Minimum0
Maximum93
Zeros42
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:21.691125image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile21
Q140
median52
Q362
95-th percentile73
Maximum93
Range93
Interquartile range (IQR)22

Descriptive statistics

Standard deviation16.00862447
Coefficient of variation (CV)0.3185674829
Kurtosis0.3518223069
Mean50.25190997
Median Absolute Deviation (MAD)10
Skewness-0.6261073274
Sum243370
Variance256.2760574
MonotonicityNot monotonic
2022-11-23T19:36:21.760976image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
54151
 
3.1%
60149
 
3.1%
50137
 
2.8%
61137
 
2.8%
53134
 
2.8%
51132
 
2.7%
52132
 
2.7%
64127
 
2.6%
59124
 
2.6%
58124
 
2.6%
Other values (83)3496
72.2%
ValueCountFrequency (%)
042
0.9%
13
 
0.1%
25
 
0.1%
33
 
0.1%
43
 
0.1%
ValueCountFrequency (%)
931
< 0.1%
912
< 0.1%
901
< 0.1%
892
< 0.1%
882
< 0.1%

MC3
Real number (ℝ≥0)

ZEROS

Distinct69
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.73570101
Minimum0
Maximum95
Zeros118
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:21.831874image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median10
Q317
95-th percentile32
Maximum95
Range95
Interquartile range (IQR)12

Descriptive statistics

Standard deviation10.23797486
Coefficient of variation (CV)0.8038799628
Kurtosis5.845226193
Mean12.73570101
Median Absolute Deviation (MAD)5
Skewness1.797828885
Sum61679
Variance104.8161291
MonotonicityNot monotonic
2022-11-23T19:36:21.901275image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5304
 
6.3%
4300
 
6.2%
8282
 
5.8%
6278
 
5.7%
7256
 
5.3%
10231
 
4.8%
9229
 
4.7%
3221
 
4.6%
11204
 
4.2%
2189
 
3.9%
Other values (59)2349
48.5%
ValueCountFrequency (%)
0118
 
2.4%
1110
 
2.3%
2189
3.9%
3221
4.6%
4300
6.2%
ValueCountFrequency (%)
951
< 0.1%
941
< 0.1%
861
< 0.1%
822
< 0.1%
761
< 0.1%

TPE1
Real number (ℝ≥0)

Distinct82
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.73281024
Minimum0
Maximum99
Zeros37
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:21.973212image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile56
Q172
median79
Q384
95-th percentile91
Maximum99
Range99
Interquartile range (IQR)12

Descriptive statistics

Standard deviation12.60981712
Coefficient of variation (CV)0.1643340976
Kurtosis11.02447
Mean76.73281024
Median Absolute Deviation (MAD)6
Skewness-2.526645073
Sum371617
Variance159.0074879
MonotonicityNot monotonic
2022-11-23T19:36:22.044586image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
81252
 
5.2%
83242
 
5.0%
80238
 
4.9%
82225
 
4.6%
78224
 
4.6%
76223
 
4.6%
85213
 
4.4%
79206
 
4.3%
86192
 
4.0%
84182
 
3.8%
Other values (72)2646
54.6%
ValueCountFrequency (%)
037
0.8%
81
 
< 0.1%
101
 
< 0.1%
161
 
< 0.1%
171
 
< 0.1%
ValueCountFrequency (%)
9923
0.5%
984
 
0.1%
975
 
0.1%
9615
0.3%
9516
0.3%

TPE2
Real number (ℝ≥0)

ZEROS

Distinct49
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.74416684
Minimum0
Maximum99
Zeros124
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:22.116906image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q18
median12
Q316
95-th percentile24
Maximum99
Range99
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.727787088
Coefficient of variation (CV)0.5279110964
Kurtosis10.45005408
Mean12.74416684
Median Absolute Deviation (MAD)4
Skewness1.535305736
Sum61720
Variance45.26311911
MonotonicityNot monotonic
2022-11-23T19:36:22.188793image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
12363
 
7.5%
11359
 
7.4%
13343
 
7.1%
10334
 
6.9%
14311
 
6.4%
9297
 
6.1%
8283
 
5.8%
15248
 
5.1%
7241
 
5.0%
16214
 
4.4%
Other values (39)1850
38.2%
ValueCountFrequency (%)
0124
2.6%
114
 
0.3%
247
 
1.0%
372
1.5%
4106
2.2%
ValueCountFrequency (%)
991
< 0.1%
841
< 0.1%
671
< 0.1%
611
< 0.1%
541
< 0.1%

TPE3
Real number (ℝ≥0)

ZEROS

Distinct43
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.104480694
Minimum0
Maximum52
Zeros2647
Zeros (%)54.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:22.258067image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile10
Maximum52
Range52
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.817939696
Coefficient of variation (CV)2.289372247
Kurtosis25.83591665
Mean2.104480694
Median Absolute Deviation (MAD)0
Skewness4.48814878
Sum10192
Variance23.21254291
MonotonicityNot monotonic
2022-11-23T19:36:22.327401image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
02647
54.7%
1749
 
15.5%
2408
 
8.4%
3257
 
5.3%
4150
 
3.1%
5128
 
2.6%
677
 
1.6%
765
 
1.3%
860
 
1.2%
1038
 
0.8%
Other values (33)264
 
5.5%
ValueCountFrequency (%)
02647
54.7%
1749
 
15.5%
2408
 
8.4%
3257
 
5.3%
4150
 
3.1%
ValueCountFrequency (%)
521
 
< 0.1%
471
 
< 0.1%
443
0.1%
431
 
< 0.1%
423
0.1%

TPE4
Real number (ℝ≥0)

ZEROS

Distinct40
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.587032831
Minimum0
Maximum44
Zeros2921
Zeros (%)60.3%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:22.396191image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum44
Range44
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.882465312
Coefficient of variation (CV)2.446367357
Kurtosis30.14090395
Mean1.587032831
Median Absolute Deviation (MAD)0
Skewness4.82603069
Sum7686
Variance15.0735369
MonotonicityNot monotonic
2022-11-23T19:36:22.459755image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
02921
60.3%
1720
 
14.9%
2377
 
7.8%
3224
 
4.6%
4146
 
3.0%
5104
 
2.1%
662
 
1.3%
745
 
0.9%
838
 
0.8%
1024
 
0.5%
Other values (30)182
 
3.8%
ValueCountFrequency (%)
02921
60.3%
1720
 
14.9%
2377
 
7.8%
3224
 
4.6%
4146
 
3.0%
ValueCountFrequency (%)
441
 
< 0.1%
431
 
< 0.1%
391
 
< 0.1%
383
0.1%
371
 
< 0.1%

TPE5
Real number (ℝ≥0)

ZEROS

Distinct22
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4135866199
Minimum0
Maximum23
Zeros4448
Zeros (%)91.8%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:22.518668image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum23
Range23
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.909052869
Coefficient of variation (CV)4.615847752
Kurtosis42.3706751
Mean0.4135866199
Median Absolute Deviation (MAD)0
Skewness6.1001677
Sum2003
Variance3.644482858
MonotonicityNot monotonic
2022-11-23T19:36:22.571543image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
04448
91.8%
1103
 
2.1%
260
 
1.2%
345
 
0.9%
427
 
0.6%
523
 
0.5%
621
 
0.4%
720
 
0.4%
1019
 
0.4%
1113
 
0.3%
Other values (12)64
 
1.3%
ValueCountFrequency (%)
04448
91.8%
1103
 
2.1%
260
 
1.2%
345
 
0.9%
427
 
0.6%
ValueCountFrequency (%)
231
 
< 0.1%
212
< 0.1%
201
 
< 0.1%
184
0.1%
174
0.1%

TPE6
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct12
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08982035928
Minimum0
Maximum30
Zeros4632
Zeros (%)95.6%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:22.621866image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum30
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7087008878
Coefficient of variation (CV)7.890203217
Kurtosis766.8875203
Mean0.08982035928
Median Absolute Deviation (MAD)0
Skewness22.42757609
Sum435
Variance0.5022569483
MonotonicityNot monotonic
2022-11-23T19:36:22.742586image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
04632
95.6%
1126
 
2.6%
250
 
1.0%
311
 
0.2%
47
 
0.1%
56
 
0.1%
84
 
0.1%
72
 
< 0.1%
62
 
< 0.1%
131
 
< 0.1%
Other values (2)2
 
< 0.1%
ValueCountFrequency (%)
04632
95.6%
1126
 
2.6%
250
 
1.0%
311
 
0.2%
47
 
0.1%
ValueCountFrequency (%)
301
 
< 0.1%
171
 
< 0.1%
131
 
< 0.1%
84
0.1%
72
< 0.1%

TPE7
Real number (ℝ≥0)

ZEROS

Distinct11
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2411728268
Minimum0
Maximum13
Zeros4017
Zeros (%)82.9%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:22.792183image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6660948816
Coefficient of variation (CV)2.761898554
Kurtosis53.41179469
Mean0.2411728268
Median Absolute Deviation (MAD)0
Skewness5.324237168
Sum1168
Variance0.4436823912
MonotonicityNot monotonic
2022-11-23T19:36:22.842991image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
04017
82.9%
1613
 
12.7%
2144
 
3.0%
345
 
0.9%
412
 
0.2%
73
 
0.1%
63
 
0.1%
53
 
0.1%
81
 
< 0.1%
91
 
< 0.1%
ValueCountFrequency (%)
04017
82.9%
1613
 
12.7%
2144
 
3.0%
345
 
0.9%
412
 
0.2%
ValueCountFrequency (%)
131
 
< 0.1%
91
 
< 0.1%
81
 
< 0.1%
73
0.1%
63
0.1%

TPE8
Real number (ℝ≥0)

ZEROS

Distinct51
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.030972538
Minimum0
Maximum90
Zeros815
Zeros (%)16.8%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:22.906210image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q35
95-th percentile12
Maximum90
Range90
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.410061345
Coefficient of variation (CV)1.342123097
Kurtosis35.58746992
Mean4.030972538
Median Absolute Deviation (MAD)2
Skewness4.535675723
Sum19522
Variance29.26876376
MonotonicityNot monotonic
2022-11-23T19:36:22.975801image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0815
16.8%
2784
16.2%
1732
15.1%
3649
13.4%
4475
9.8%
5314
 
6.5%
6262
 
5.4%
7157
 
3.2%
8122
 
2.5%
9105
 
2.2%
Other values (41)428
8.8%
ValueCountFrequency (%)
0815
16.8%
1732
15.1%
2784
16.2%
3649
13.4%
4475
9.8%
ValueCountFrequency (%)
901
< 0.1%
661
< 0.1%
611
< 0.1%
571
< 0.1%
541
< 0.1%

TPE9
Real number (ℝ≥0)

ZEROS

Distinct34
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.371051001
Minimum0
Maximum39
Zeros818
Zeros (%)16.9%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:23.043517image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q34
95-th percentile10
Maximum39
Range39
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.724846006
Coefficient of variation (CV)1.10495095
Kurtosis15.12315388
Mean3.371051001
Median Absolute Deviation (MAD)2
Skewness3.055177949
Sum16326
Variance13.87447777
MonotonicityNot monotonic
2022-11-23T19:36:23.107523image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
2901
18.6%
0818
16.9%
3758
15.7%
1684
14.1%
4543
11.2%
5332
 
6.9%
6231
 
4.8%
7145
 
3.0%
8103
 
2.1%
972
 
1.5%
Other values (24)256
 
5.3%
ValueCountFrequency (%)
0818
16.9%
1684
14.1%
2901
18.6%
3758
15.7%
4543
11.2%
ValueCountFrequency (%)
391
< 0.1%
352
< 0.1%
342
< 0.1%
322
< 0.1%
312
< 0.1%

PEC1
Real number (ℝ≥0)

ZEROS

Distinct60
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.215362379
Minimum0
Maximum75
Zeros2265
Zeros (%)46.8%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:23.180215image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile9
Maximum75
Range75
Interquartile range (IQR)2

Descriptive statistics

Standard deviation6.104933593
Coefficient of variation (CV)2.755726852
Kurtosis44.15339091
Mean2.215362379
Median Absolute Deviation (MAD)1
Skewness5.960725802
Sum10729
Variance37.27021418
MonotonicityNot monotonic
2022-11-23T19:36:23.250915image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02265
46.8%
11166
24.1%
2594
 
12.3%
3247
 
5.1%
4118
 
2.4%
579
 
1.6%
641
 
0.8%
834
 
0.7%
731
 
0.6%
1028
 
0.6%
Other values (50)240
 
5.0%
ValueCountFrequency (%)
02265
46.8%
11166
24.1%
2594
 
12.3%
3247
 
5.1%
4118
 
2.4%
ValueCountFrequency (%)
751
< 0.1%
741
< 0.1%
721
< 0.1%
702
< 0.1%
642
< 0.1%

PEC2
Real number (ℝ≥0)

ZEROS

Distinct91
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.00041297
Minimum0
Maximum92
Zeros397
Zeros (%)8.2%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:23.326110image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median11
Q327
95-th percentile59
Maximum92
Range92
Interquartile range (IQR)23

Descriptive statistics

Standard deviation19.00104347
Coefficient of variation (CV)1.055589308
Kurtosis1.304175006
Mean18.00041297
Median Absolute Deviation (MAD)9
Skewness1.391530305
Sum87176
Variance361.0396529
MonotonicityNot monotonic
2022-11-23T19:36:23.395602image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0397
 
8.2%
3268
 
5.5%
2240
 
5.0%
5213
 
4.4%
1211
 
4.4%
6210
 
4.3%
4210
 
4.3%
7200
 
4.1%
8158
 
3.3%
10150
 
3.1%
Other values (81)2586
53.4%
ValueCountFrequency (%)
0397
8.2%
1211
4.4%
2240
5.0%
3268
5.5%
4210
4.3%
ValueCountFrequency (%)
921
 
< 0.1%
893
0.1%
887
0.1%
874
0.1%
864
0.1%

TPE10
Real number (ℝ≥0)

Distinct50
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.48977906
Minimum0
Maximum90
Zeros32
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:23.467247image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.1
Q115
median19
Q323
95-th percentile31
Maximum90
Range90
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.598164854
Coefficient of variation (CV)0.3385448769
Kurtosis11.40987881
Mean19.48977906
Median Absolute Deviation (MAD)4
Skewness1.333128969
Sum94389
Variance43.53577944
MonotonicityNot monotonic
2022-11-23T19:36:23.536222image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18370
 
7.6%
19356
 
7.4%
17339
 
7.0%
20338
 
7.0%
21330
 
6.8%
22311
 
6.4%
23283
 
5.8%
16255
 
5.3%
14239
 
4.9%
24236
 
4.9%
Other values (40)1786
36.9%
ValueCountFrequency (%)
032
0.7%
31
 
< 0.1%
41
 
< 0.1%
56
 
0.1%
64
 
0.1%
ValueCountFrequency (%)
904
0.1%
601
 
< 0.1%
561
 
< 0.1%
511
 
< 0.1%
492
< 0.1%

TPE11
Real number (ℝ≥0)

Distinct47
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.811274
Minimum0
Maximum54
Zeros36
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:23.605783image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14
Q120
median23
Q328
95-th percentile35
Maximum54
Range54
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.582327491
Coefficient of variation (CV)0.2764374342
Kurtosis1.208527233
Mean23.811274
Median Absolute Deviation (MAD)4
Skewness0.1638624604
Sum115318
Variance43.3270352
MonotonicityNot monotonic
2022-11-23T19:36:23.676699image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
22326
 
6.7%
23321
 
6.6%
21318
 
6.6%
24310
 
6.4%
20303
 
6.3%
25293
 
6.0%
26257
 
5.3%
19246
 
5.1%
28223
 
4.6%
27223
 
4.6%
Other values (37)2023
41.8%
ValueCountFrequency (%)
036
0.7%
71
 
< 0.1%
83
 
0.1%
94
 
0.1%
1015
0.3%
ValueCountFrequency (%)
541
 
< 0.1%
531
 
< 0.1%
521
 
< 0.1%
491
 
< 0.1%
483
0.1%

TPE12
Real number (ℝ≥0)

ZEROS

Distinct42
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.381788148
Minimum0
Maximum50
Zeros558
Zeros (%)11.5%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:23.818500image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q37
95-th percentile15
Maximum50
Range50
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.4597221
Coefficient of variation (CV)1.014481052
Kurtosis9.352526186
Mean5.381788148
Median Absolute Deviation (MAD)2
Skewness2.42374047
Sum26064
Variance29.80856541
MonotonicityNot monotonic
2022-11-23T19:36:23.885273image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
3643
13.3%
2633
13.1%
0558
11.5%
4497
10.3%
5407
8.4%
1386
8.0%
6355
7.3%
7256
 
5.3%
8206
 
4.3%
10142
 
2.9%
Other values (32)760
15.7%
ValueCountFrequency (%)
0558
11.5%
1386
8.0%
2633
13.1%
3643
13.3%
4497
10.3%
ValueCountFrequency (%)
502
< 0.1%
472
< 0.1%
433
0.1%
401
 
< 0.1%
393
0.1%

TPE13
Real number (ℝ≥0)

Distinct94
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.08651662
Minimum0
Maximum99
Zeros39
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:23.955266image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile27
Q151
median64
Q372
95-th percentile82
Maximum99
Range99
Interquartile range (IQR)21

Descriptive statistics

Standard deviation17.21004403
Coefficient of variation (CV)0.286421064
Kurtosis0.7601172289
Mean60.08651662
Median Absolute Deviation (MAD)10
Skewness-0.9218296077
Sum290999
Variance296.1856154
MonotonicityNot monotonic
2022-11-23T19:36:24.027177image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
72162
 
3.3%
69154
 
3.2%
71142
 
2.9%
68140
 
2.9%
63136
 
2.8%
67135
 
2.8%
65135
 
2.8%
70133
 
2.7%
66132
 
2.7%
74126
 
2.6%
Other values (84)3448
71.2%
ValueCountFrequency (%)
039
0.8%
21
 
< 0.1%
51
 
< 0.1%
63
 
0.1%
82
 
< 0.1%
ValueCountFrequency (%)
996
0.1%
961
 
< 0.1%
952
 
< 0.1%
941
 
< 0.1%
931
 
< 0.1%

LFC1
Real number (ℝ≥0)

Distinct93
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.61614702
Minimum0
Maximum99
Zeros36
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:24.100429image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile41.1
Q158
median66
Q373
95-th percentile82
Maximum99
Range99
Interquartile range (IQR)15

Descriptive statistics

Standard deviation13.51329464
Coefficient of variation (CV)0.2091318543
Kurtosis4.486276602
Mean64.61614702
Median Absolute Deviation (MAD)8
Skewness-1.515753296
Sum312936
Variance182.609132
MonotonicityNot monotonic
2022-11-23T19:36:24.173087image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
63186
 
3.8%
70184
 
3.8%
69184
 
3.8%
66182
 
3.8%
64178
 
3.7%
72173
 
3.6%
67173
 
3.6%
71171
 
3.5%
61165
 
3.4%
65164
 
3.4%
Other values (83)3083
63.7%
ValueCountFrequency (%)
036
0.7%
41
 
< 0.1%
51
 
< 0.1%
61
 
< 0.1%
72
 
< 0.1%
ValueCountFrequency (%)
992
< 0.1%
961
< 0.1%
951
< 0.1%
941
< 0.1%
931
< 0.1%

LFC2
Real number (ℝ≥0)

Distinct93
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.10324179
Minimum0
Maximum99
Zeros37
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:24.247304image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile49
Q169
median77
Q383
95-th percentile91
Maximum99
Range99
Interquartile range (IQR)14

Descriptive statistics

Standard deviation14.45902055
Coefficient of variation (CV)0.1951199462
Kurtosis6.471985829
Mean74.10324179
Median Absolute Deviation (MAD)7
Skewness-1.97186192
Sum358882
Variance209.0632753
MonotonicityNot monotonic
2022-11-23T19:36:24.319947image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80197
 
4.1%
78192
 
4.0%
76182
 
3.8%
81181
 
3.7%
79180
 
3.7%
82177
 
3.7%
75177
 
3.7%
84172
 
3.6%
74163
 
3.4%
83160
 
3.3%
Other values (83)3062
63.2%
ValueCountFrequency (%)
037
0.8%
51
 
< 0.1%
62
 
< 0.1%
74
 
0.1%
81
 
< 0.1%
ValueCountFrequency (%)
9912
0.2%
984
 
0.1%
9713
0.3%
9622
0.5%
9528
0.6%

LFC3
Real number (ℝ≥0)

Distinct91
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.97460252
Minimum0
Maximum99
Zeros36
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:24.393863image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile34
Q148
median57
Q365
95-th percentile76
Maximum99
Range99
Interquartile range (IQR)17

Descriptive statistics

Standard deviation13.66556253
Coefficient of variation (CV)0.2441386257
Kurtosis2.05325291
Mean55.97460252
Median Absolute Deviation (MAD)8
Skewness-0.8548560911
Sum271085
Variance186.7475994
MonotonicityNot monotonic
2022-11-23T19:36:24.466433image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59183
 
3.8%
58180
 
3.7%
62174
 
3.6%
54159
 
3.3%
56157
 
3.2%
57152
 
3.1%
52152
 
3.1%
55149
 
3.1%
53148
 
3.1%
61147
 
3.0%
Other values (81)3242
66.9%
ValueCountFrequency (%)
036
0.7%
21
 
< 0.1%
42
 
< 0.1%
56
 
0.1%
62
 
< 0.1%
ValueCountFrequency (%)
993
0.1%
971
 
< 0.1%
951
 
< 0.1%
931
 
< 0.1%
891
 
< 0.1%

LFC4
Real number (ℝ≥0)

Distinct95
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.16394797
Minimum0
Maximum99
Zeros37
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:24.540387image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile43
Q164
median73
Q380
95-th percentile88
Maximum99
Range99
Interquartile range (IQR)16

Descriptive statistics

Standard deviation14.83728228
Coefficient of variation (CV)0.2114658982
Kurtosis4.531978741
Mean70.16394797
Median Absolute Deviation (MAD)8
Skewness-1.621021176
Sum339804
Variance220.1449453
MonotonicityNot monotonic
2022-11-23T19:36:24.613552image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
76187
 
3.9%
78186
 
3.8%
74186
 
3.8%
72158
 
3.3%
73157
 
3.2%
80156
 
3.2%
75154
 
3.2%
79154
 
3.2%
71150
 
3.1%
77148
 
3.1%
Other values (85)3207
66.2%
ValueCountFrequency (%)
037
0.8%
51
 
< 0.1%
65
 
0.1%
72
 
< 0.1%
83
 
0.1%
ValueCountFrequency (%)
997
0.1%
982
 
< 0.1%
979
0.2%
966
0.1%
9512
0.2%

LFC5
Real number (ℝ≥0)

Distinct92
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.05946727
Minimum0
Maximum99
Zeros37
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:24.687414image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30
Q145
median54
Q362
95-th percentile73
Maximum99
Range99
Interquartile range (IQR)17

Descriptive statistics

Standard deviation13.61901865
Coefficient of variation (CV)0.256674621
Kurtosis1.57206047
Mean53.05946727
Median Absolute Deviation (MAD)8
Skewness-0.7107981046
Sum256967
Variance185.477669
MonotonicityNot monotonic
2022-11-23T19:36:24.759576image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
58170
 
3.5%
56164
 
3.4%
53160
 
3.3%
52158
 
3.3%
60156
 
3.2%
61154
 
3.2%
55153
 
3.2%
54153
 
3.2%
50143
 
3.0%
57142
 
2.9%
Other values (82)3290
67.9%
ValueCountFrequency (%)
037
0.8%
21
 
< 0.1%
32
 
< 0.1%
41
 
< 0.1%
55
 
0.1%
ValueCountFrequency (%)
992
< 0.1%
951
 
< 0.1%
941
 
< 0.1%
901
 
< 0.1%
883
0.1%

LFC6
Real number (ℝ≥0)

ZEROS

Distinct86
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.30105307
Minimum0
Maximum99
Zeros93
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:24.907006image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile38
Q157
median66
Q374
95-th percentile86
Maximum99
Range99
Interquartile range (IQR)17

Descriptive statistics

Standard deviation16.15412053
Coefficient of variation (CV)0.251226376
Kurtosis3.629047929
Mean64.30105307
Median Absolute Deviation (MAD)8
Skewness-1.262948763
Sum311410
Variance260.9556102
MonotonicityNot monotonic
2022-11-23T19:36:24.978723image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
69178
 
3.7%
70166
 
3.4%
64165
 
3.4%
71165
 
3.4%
66156
 
3.2%
67156
 
3.2%
63151
 
3.1%
65146
 
3.0%
61145
 
3.0%
68143
 
3.0%
Other values (76)3272
67.6%
ValueCountFrequency (%)
093
1.9%
61
 
< 0.1%
81
 
< 0.1%
102
 
< 0.1%
142
 
< 0.1%
ValueCountFrequency (%)
9976
1.6%
967
 
0.1%
954
 
0.1%
9410
 
0.2%
9310
 
0.2%

LFC7
Real number (ℝ≥0)

ZEROS

Distinct96
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.33739418
Minimum0
Maximum99
Zeros117
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:25.051965image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19
Q141
median51
Q360
95-th percentile75
Maximum99
Range99
Interquartile range (IQR)19

Descriptive statistics

Standard deviation16.81618618
Coefficient of variation (CV)0.3408405827
Kurtosis1.006714837
Mean49.33739418
Median Absolute Deviation (MAD)9
Skewness-0.4774762051
Sum238941
Variance282.7841177
MonotonicityNot monotonic
2022-11-23T19:36:25.123843image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
53158
 
3.3%
52154
 
3.2%
55149
 
3.1%
50145
 
3.0%
49143
 
3.0%
48137
 
2.8%
56136
 
2.8%
51135
 
2.8%
57132
 
2.7%
46129
 
2.7%
Other values (86)3425
70.7%
ValueCountFrequency (%)
0117
2.4%
32
 
< 0.1%
41
 
< 0.1%
54
 
0.1%
65
 
0.1%
ValueCountFrequency (%)
9924
0.5%
961
 
< 0.1%
952
 
< 0.1%
941
 
< 0.1%
932
 
< 0.1%

LFC8
Real number (ℝ≥0)

ZEROS

Distinct95
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.35391286
Minimum0
Maximum99
Zeros475
Zeros (%)9.8%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:25.197170image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q156
median79
Q399
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)43

Descriptive statistics

Standard deviation30.90261112
Coefficient of variation (CV)0.4392450947
Kurtosis0.1729353518
Mean70.35391286
Median Absolute Deviation (MAD)20
Skewness-1.085960533
Sum340724
Variance954.9713741
MonotonicityNot monotonic
2022-11-23T19:36:25.271563image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
991457
30.1%
0475
 
9.8%
8175
 
1.5%
8071
 
1.5%
7870
 
1.4%
7670
 
1.4%
8869
 
1.4%
7366
 
1.4%
7166
 
1.4%
7566
 
1.4%
Other values (85)2358
48.7%
ValueCountFrequency (%)
0475
9.8%
52
 
< 0.1%
61
 
< 0.1%
84
 
0.1%
92
 
< 0.1%
ValueCountFrequency (%)
991457
30.1%
988
 
0.2%
9719
 
0.4%
9623
 
0.5%
9521
 
0.4%

LFC9
Real number (ℝ≥0)

ZEROS

Distinct88
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.03654759
Minimum0
Maximum99
Zeros1590
Zeros (%)32.8%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:25.349379image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median97
Q399
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)99

Descriptive statistics

Standard deviation45.12915636
Coefficient of variation (CV)0.7274607971
Kurtosis-1.582918629
Mean62.03654759
Median Absolute Deviation (MAD)2
Skewness-0.5667505903
Sum300443
Variance2036.640754
MonotonicityNot monotonic
2022-11-23T19:36:25.424403image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
992399
49.5%
01590
32.8%
8935
 
0.7%
9434
 
0.7%
8330
 
0.6%
9129
 
0.6%
7925
 
0.5%
9524
 
0.5%
9024
 
0.5%
9724
 
0.5%
Other values (78)629
 
13.0%
ValueCountFrequency (%)
01590
32.8%
61
 
< 0.1%
71
 
< 0.1%
111
 
< 0.1%
133
 
0.1%
ValueCountFrequency (%)
992399
49.5%
9816
 
0.3%
9724
 
0.5%
9620
 
0.4%
9524
 
0.5%

LFC10
Real number (ℝ≥0)

ZEROS

Distinct63
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.181086104
Minimum0
Maximum99
Zeros1440
Zeros (%)29.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:25.500052image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q39
95-th percentile22
Maximum99
Range99
Interquartile range (IQR)9

Descriptive statistics

Standard deviation8.579754219
Coefficient of variation (CV)1.388065799
Kurtosis21.54869886
Mean6.181086104
Median Absolute Deviation (MAD)4
Skewness3.463873826
Sum29935
Variance73.61218246
MonotonicityNot monotonic
2022-11-23T19:36:25.577801image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01440
29.7%
2349
 
7.2%
4347
 
7.2%
3311
 
6.4%
5276
 
5.7%
6259
 
5.3%
1250
 
5.2%
7225
 
4.6%
8171
 
3.5%
9168
 
3.5%
Other values (53)1047
21.6%
ValueCountFrequency (%)
01440
29.7%
1250
 
5.2%
2349
 
7.2%
3311
 
6.4%
4347
 
7.2%
ValueCountFrequency (%)
994
0.1%
901
 
< 0.1%
802
< 0.1%
692
< 0.1%
661
 
< 0.1%

OCC1
Real number (ℝ≥0)

ZEROS

Distinct53
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.63886021
Minimum0
Maximum78
Zeros94
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:25.656909image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q19
median13
Q319
95-th percentile30
Maximum78
Range78
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.359579073
Coefficient of variation (CV)0.5710539586
Kurtosis1.686398587
Mean14.63886021
Median Absolute Deviation (MAD)5
Skewness1.001577784
Sum70896
Variance69.88256227
MonotonicityNot monotonic
2022-11-23T19:36:25.734860image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13306
 
6.3%
10300
 
6.2%
11296
 
6.1%
12274
 
5.7%
9265
 
5.5%
8251
 
5.2%
7217
 
4.5%
15212
 
4.4%
14207
 
4.3%
16201
 
4.2%
Other values (43)2314
47.8%
ValueCountFrequency (%)
094
1.9%
119
 
0.4%
253
1.1%
372
1.5%
4110
2.3%
ValueCountFrequency (%)
781
 
< 0.1%
541
 
< 0.1%
521
 
< 0.1%
491
 
< 0.1%
485
0.1%

OCC2
Real number (ℝ≥0)

ZEROS

Distinct47
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.01817056
Minimum0
Maximum51
Zeros115
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:25.811288image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q18
median12
Q317
95-th percentile26
Maximum51
Range51
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.111439624
Coefficient of variation (CV)0.5462702761
Kurtosis0.9842109221
Mean13.01817056
Median Absolute Deviation (MAD)5
Skewness0.7852049697
Sum63047
Variance50.57257352
MonotonicityNot monotonic
2022-11-23T19:36:25.881688image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
9318
 
6.6%
8311
 
6.4%
10293
 
6.0%
7292
 
6.0%
12276
 
5.7%
14258
 
5.3%
11254
 
5.2%
15241
 
5.0%
13239
 
4.9%
6238
 
4.9%
Other values (37)2123
43.8%
ValueCountFrequency (%)
0115
2.4%
116
 
0.3%
247
 
1.0%
374
1.5%
4126
2.6%
ValueCountFrequency (%)
511
< 0.1%
502
< 0.1%
462
< 0.1%
431
< 0.1%
421
< 0.1%

OCC3
Real number (ℝ≥0)

ZEROS

Distinct24
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.584142061
Minimum0
Maximum99
Zeros515
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:26.019804image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q35
95-th percentile8
Maximum99
Range99
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.864287582
Coefficient of variation (CV)0.7991557068
Kurtosis256.9698694
Mean3.584142061
Median Absolute Deviation (MAD)1
Skewness8.536729906
Sum17358
Variance8.204143352
MonotonicityNot monotonic
2022-11-23T19:36:26.077329image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
3892
18.4%
2802
16.6%
4760
15.7%
5566
11.7%
0515
10.6%
1409
8.4%
6375
7.7%
7211
 
4.4%
8130
 
2.7%
981
 
1.7%
Other values (14)102
 
2.1%
ValueCountFrequency (%)
0515
10.6%
1409
8.4%
2802
16.6%
3892
18.4%
4760
15.7%
ValueCountFrequency (%)
991
< 0.1%
301
< 0.1%
232
< 0.1%
221
< 0.1%
201
< 0.1%

OCC4
Real number (ℝ≥0)

ZEROS

Distinct43
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.73198431
Minimum0
Maximum67
Zeros82
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:26.141311image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q19
median12
Q316
95-th percentile23
Maximum67
Range67
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.609562034
Coefficient of variation (CV)0.4405881989
Kurtosis3.056179313
Mean12.73198431
Median Absolute Deviation (MAD)3
Skewness0.8077589012
Sum61661
Variance31.46718621
MonotonicityNot monotonic
2022-11-23T19:36:26.208593image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
13390
 
8.1%
11388
 
8.0%
10381
 
7.9%
12381
 
7.9%
14364
 
7.5%
9323
 
6.7%
15321
 
6.6%
8291
 
6.0%
16253
 
5.2%
7223
 
4.6%
Other values (33)1528
31.6%
ValueCountFrequency (%)
082
1.7%
13
 
0.1%
223
 
0.5%
339
0.8%
475
1.5%
ValueCountFrequency (%)
671
< 0.1%
451
< 0.1%
421
< 0.1%
391
< 0.1%
381
< 0.1%

OCC5
Real number (ℝ≥0)

ZEROS

Distinct45
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.39211233
Minimum0
Maximum68
Zeros69
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:26.281292image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q112
median15
Q319
95-th percentile25
Maximum68
Range68
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.687990687
Coefficient of variation (CV)0.3695393177
Kurtosis3.396130134
Mean15.39211233
Median Absolute Deviation (MAD)3
Skewness0.5748779571
Sum74544
Variance32.35323806
MonotonicityNot monotonic
2022-11-23T19:36:26.350130image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
14407
 
8.4%
15396
 
8.2%
13362
 
7.5%
12356
 
7.4%
16348
 
7.2%
17333
 
6.9%
18293
 
6.0%
11275
 
5.7%
10244
 
5.0%
19231
 
4.8%
Other values (35)1598
33.0%
ValueCountFrequency (%)
069
1.4%
15
 
0.1%
24
 
0.1%
312
 
0.2%
426
 
0.5%
ValueCountFrequency (%)
681
< 0.1%
581
< 0.1%
531
< 0.1%
442
< 0.1%
402
< 0.1%

OCC6
Real number (ℝ≥0)

ZEROS

Distinct17
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.42742102
Minimum0
Maximum23
Zeros3601
Zeros (%)74.4%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:26.413117image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum23
Range23
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.099475908
Coefficient of variation (CV)2.572348706
Kurtosis105.1267587
Mean0.42742102
Median Absolute Deviation (MAD)0
Skewness7.605422373
Sum2070
Variance1.208847271
MonotonicityNot monotonic
2022-11-23T19:36:26.462918image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
03601
74.4%
1820
 
16.9%
2266
 
5.5%
381
 
1.7%
428
 
0.6%
520
 
0.4%
77
 
0.1%
66
 
0.1%
93
 
0.1%
83
 
0.1%
Other values (7)8
 
0.2%
ValueCountFrequency (%)
03601
74.4%
1820
 
16.9%
2266
 
5.5%
381
 
1.7%
428
 
0.6%
ValueCountFrequency (%)
231
< 0.1%
201
< 0.1%
191
< 0.1%
181
< 0.1%
151
< 0.1%

OCC7
Real number (ℝ≥0)

ZEROS

Distinct24
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.662399339
Minimum0
Maximum50
Zeros1404
Zeros (%)29.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:26.515178image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5
Maximum50
Range50
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.084889031
Coefficient of variation (CV)1.254144526
Kurtosis96.2467986
Mean1.662399339
Median Absolute Deviation (MAD)1
Skewness6.300080319
Sum8051
Variance4.346762272
MonotonicityNot monotonic
2022-11-23T19:36:26.573793image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
01404
29.0%
11297
26.8%
21085
22.4%
3530
 
10.9%
4241
 
5.0%
5120
 
2.5%
664
 
1.3%
740
 
0.8%
821
 
0.4%
911
 
0.2%
Other values (14)30
 
0.6%
ValueCountFrequency (%)
01404
29.0%
11297
26.8%
21085
22.4%
3530
 
10.9%
4241
 
5.0%
ValueCountFrequency (%)
501
< 0.1%
351
< 0.1%
331
< 0.1%
251
< 0.1%
241
< 0.1%

OCC8
Real number (ℝ≥0)

ZEROS

Distinct49
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.23229403
Minimum0
Maximum74
Zeros93
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:26.640237image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q16
median10
Q313
95-th percentile20.9
Maximum74
Range74
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.904612644
Coefficient of variation (CV)0.5770565843
Kurtosis7.298118611
Mean10.23229403
Median Absolute Deviation (MAD)3
Skewness1.653523182
Sum49555
Variance34.86445048
MonotonicityNot monotonic
2022-11-23T19:36:26.710907image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
10420
 
8.7%
9402
 
8.3%
8377
 
7.8%
7367
 
7.6%
6347
 
7.2%
11328
 
6.8%
12309
 
6.4%
5309
 
6.4%
13303
 
6.3%
14224
 
4.6%
Other values (39)1457
30.1%
ValueCountFrequency (%)
093
1.9%
144
 
0.9%
2102
2.1%
3162
3.3%
4215
4.4%
ValueCountFrequency (%)
741
< 0.1%
521
< 0.1%
502
< 0.1%
491
< 0.1%
472
< 0.1%

OCC9
Real number (ℝ≥0)

ZEROS

Distinct49
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.929589098
Minimum0
Maximum70
Zeros1762
Zeros (%)36.4%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:26.786531image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile12
Maximum70
Range70
Interquartile range (IQR)3

Descriptive statistics

Standard deviation5.465580594
Coefficient of variation (CV)1.865647506
Kurtosis27.383416
Mean2.929589098
Median Absolute Deviation (MAD)1
Skewness4.334547868
Sum14188
Variance29.87257123
MonotonicityNot monotonic
2022-11-23T19:36:26.855145image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
01762
36.4%
1991
20.5%
2602
 
12.4%
3367
 
7.6%
4241
 
5.0%
5171
 
3.5%
6128
 
2.6%
798
 
2.0%
880
 
1.7%
963
 
1.3%
Other values (39)340
 
7.0%
ValueCountFrequency (%)
01762
36.4%
1991
20.5%
2602
 
12.4%
3367
 
7.6%
4241
 
5.0%
ValueCountFrequency (%)
701
< 0.1%
622
< 0.1%
601
< 0.1%
591
< 0.1%
501
< 0.1%

OCC10
Real number (ℝ≥0)

ZEROS

Distinct40
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.2213504
Minimum0
Maximum48
Zeros129
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:26.924578image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median11
Q315
95-th percentile21
Maximum48
Range48
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.805051148
Coefficient of variation (CV)0.5173219746
Kurtosis0.922186716
Mean11.2213504
Median Absolute Deviation (MAD)4
Skewness0.5013258362
Sum54345
Variance33.69861883
MonotonicityNot monotonic
2022-11-23T19:36:26.992305image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
12340
 
7.0%
13337
 
7.0%
10330
 
6.8%
11323
 
6.7%
9320
 
6.6%
8302
 
6.2%
14298
 
6.2%
7274
 
5.7%
15252
 
5.2%
6225
 
4.6%
Other values (30)1842
38.0%
ValueCountFrequency (%)
0129
2.7%
141
 
0.8%
2109
2.3%
3155
3.2%
4175
3.6%
ValueCountFrequency (%)
481
< 0.1%
461
< 0.1%
391
< 0.1%
372
< 0.1%
352
< 0.1%

OCC11
Real number (ℝ≥0)

ZEROS

Distinct39
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.935164154
Minimum0
Maximum41
Zeros541
Zeros (%)11.2%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:27.134460image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q38
95-th percentile17
Maximum41
Range41
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.614742086
Coefficient of variation (CV)0.9460129392
Kurtosis3.326159188
Mean5.935164154
Median Absolute Deviation (MAD)3
Skewness1.623649605
Sum28744
Variance31.5253287
MonotonicityNot monotonic
2022-11-23T19:36:27.196130image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
2561
11.6%
0541
11.2%
3513
10.6%
1423
8.7%
4418
8.6%
5383
 
7.9%
6356
 
7.4%
7267
 
5.5%
8228
 
4.7%
9169
 
3.5%
Other values (29)984
20.3%
ValueCountFrequency (%)
0541
11.2%
1423
8.7%
2561
11.6%
3513
10.6%
4418
8.6%
ValueCountFrequency (%)
411
< 0.1%
381
< 0.1%
371
< 0.1%
351
< 0.1%
342
< 0.1%

OCC12
Real number (ℝ≥0)

ZEROS

Distinct28
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.912037993
Minimum0
Maximum50
Zeros632
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:27.255597image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q36
95-th percentile9
Maximum50
Range50
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.239271626
Coefficient of variation (CV)0.8280266275
Kurtosis12.87932995
Mean3.912037993
Median Absolute Deviation (MAD)2
Skewness1.991867076
Sum18946
Variance10.49288067
MonotonicityNot monotonic
2022-11-23T19:36:27.316370image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
2706
14.6%
3681
14.1%
0632
13.0%
4561
11.6%
5531
11.0%
1485
10.0%
6403
8.3%
7287
5.9%
8196
 
4.0%
9134
 
2.8%
Other values (18)227
 
4.7%
ValueCountFrequency (%)
0632
13.0%
1485
10.0%
2706
14.6%
3681
14.1%
4561
11.6%
ValueCountFrequency (%)
501
< 0.1%
321
< 0.1%
262
< 0.1%
251
< 0.1%
241
< 0.1%

OCC13
Real number (ℝ≥0)

ZEROS

Distinct24
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.575263267
Minimum0
Maximum25
Zeros659
Zeros (%)13.6%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:27.374628image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q35
95-th percentile9
Maximum25
Range25
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.844856535
Coefficient of variation (CV)0.7957054691
Kurtosis3.279625786
Mean3.575263267
Median Absolute Deviation (MAD)2
Skewness1.290665806
Sum17315
Variance8.093208703
MonotonicityNot monotonic
2022-11-23T19:36:27.432363image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
3792
16.4%
2717
14.8%
0659
13.6%
4623
12.9%
5530
10.9%
1522
10.8%
6368
7.6%
7248
 
5.1%
8114
 
2.4%
980
 
1.7%
Other values (14)190
 
3.9%
ValueCountFrequency (%)
0659
13.6%
1522
10.8%
2717
14.8%
3792
16.4%
4623
12.9%
ValueCountFrequency (%)
251
< 0.1%
221
< 0.1%
211
< 0.1%
201
< 0.1%
192
< 0.1%

EIC1
Real number (ℝ≥0)

ZEROS

Distinct51
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.229609746
Minimum0
Maximum70
Zeros1560
Zeros (%)32.2%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:27.498279image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile13
Maximum70
Range70
Interquartile range (IQR)3

Descriptive statistics

Standard deviation5.882307674
Coefficient of variation (CV)1.821367947
Kurtosis26.32734533
Mean3.229609746
Median Absolute Deviation (MAD)1
Skewness4.300007725
Sum15641
Variance34.60154357
MonotonicityNot monotonic
2022-11-23T19:36:27.567596image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01560
32.2%
1989
20.4%
2683
14.1%
3413
 
8.5%
4251
 
5.2%
5168
 
3.5%
6146
 
3.0%
7111
 
2.3%
882
 
1.7%
962
 
1.3%
Other values (41)378
 
7.8%
ValueCountFrequency (%)
01560
32.2%
1989
20.4%
2683
14.1%
3413
 
8.5%
4251
 
5.2%
ValueCountFrequency (%)
701
< 0.1%
672
< 0.1%
641
< 0.1%
611
< 0.1%
541
< 0.1%

EIC2
Real number (ℝ≥0)

ZEROS

Distinct32
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7148461697
Minimum0
Maximum65
Zeros3758
Zeros (%)77.6%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:27.636120image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum65
Range65
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.657170303
Coefficient of variation (CV)3.717121831
Kurtosis155.2885411
Mean0.7148461697
Median Absolute Deviation (MAD)0
Skewness10.02559454
Sum3462
Variance7.060554019
MonotonicityNot monotonic
2022-11-23T19:36:27.693910image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
03758
77.6%
1515
 
10.6%
2214
 
4.4%
391
 
1.9%
476
 
1.6%
545
 
0.9%
635
 
0.7%
730
 
0.6%
1211
 
0.2%
89
 
0.2%
Other values (22)59
 
1.2%
ValueCountFrequency (%)
03758
77.6%
1515
 
10.6%
2214
 
4.4%
391
 
1.9%
476
 
1.6%
ValueCountFrequency (%)
651
< 0.1%
511
< 0.1%
471
< 0.1%
391
< 0.1%
332
< 0.1%

EIC3
Real number (ℝ≥0)

ZEROS

Distinct35
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.464175098
Minimum0
Maximum56
Zeros254
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:27.756298image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median6
Q38
95-th percentile14
Maximum56
Range56
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.180967636
Coefficient of variation (CV)0.6467905916
Kurtosis10.08511354
Mean6.464175098
Median Absolute Deviation (MAD)2
Skewness1.760919173
Sum31306
Variance17.48049037
MonotonicityNot monotonic
2022-11-23T19:36:27.814195image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
5572
11.8%
6562
11.6%
4534
11.0%
7461
9.5%
8444
9.2%
3396
8.2%
2297
 
6.1%
9295
 
6.1%
0254
 
5.2%
10247
 
5.1%
Other values (25)781
16.1%
ValueCountFrequency (%)
0254
5.2%
1128
 
2.6%
2297
6.1%
3396
8.2%
4534
11.0%
ValueCountFrequency (%)
561
< 0.1%
481
< 0.1%
461
< 0.1%
361
< 0.1%
311
< 0.1%

EIC4
Real number (ℝ≥0)

ZEROS

Distinct60
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.71402024
Minimum0
Maximum63
Zeros103
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:27.882130image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q19
median15
Q323
95-th percentile36
Maximum63
Range63
Interquartile range (IQR)14

Descriptive statistics

Standard deviation10.09395063
Coefficient of variation (CV)0.6039211685
Kurtosis0.7618784748
Mean16.71402024
Median Absolute Deviation (MAD)6
Skewness0.8349837941
Sum80946
Variance101.8878393
MonotonicityNot monotonic
2022-11-23T19:36:27.952569image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12235
 
4.9%
10213
 
4.4%
11208
 
4.3%
13195
 
4.0%
8191
 
3.9%
16190
 
3.9%
17189
 
3.9%
7186
 
3.8%
14183
 
3.8%
9183
 
3.8%
Other values (50)2870
59.3%
ValueCountFrequency (%)
0103
2.1%
129
 
0.6%
259
1.2%
385
1.8%
4109
2.3%
ValueCountFrequency (%)
633
0.1%
582
< 0.1%
572
< 0.1%
561
 
< 0.1%
553
0.1%

EIC5
Real number (ℝ≥0)

ZEROS

Distinct28
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.235391286
Minimum0
Maximum60
Zeros431
Zeros (%)8.9%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:28.019975image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q36
95-th percentile10
Maximum60
Range60
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.215310015
Coefficient of variation (CV)0.7591530032
Kurtosis23.58452
Mean4.235391286
Median Absolute Deviation (MAD)2
Skewness2.562233536
Sum20512
Variance10.33821849
MonotonicityNot monotonic
2022-11-23T19:36:28.077893image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
4787
16.3%
3780
16.1%
2646
13.3%
5597
12.3%
0431
8.9%
6416
8.6%
1343
7.1%
7262
 
5.4%
8178
 
3.7%
9129
 
2.7%
Other values (18)274
 
5.7%
ValueCountFrequency (%)
0431
8.9%
1343
7.1%
2646
13.3%
3780
16.1%
4787
16.3%
ValueCountFrequency (%)
601
< 0.1%
301
< 0.1%
281
< 0.1%
272
< 0.1%
241
< 0.1%

EIC6
Real number (ℝ≥0)

ZEROS

Distinct21
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.661573405
Minimum0
Maximum21
Zeros810
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:28.213487image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile7
Maximum21
Range21
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.242814899
Coefficient of variation (CV)0.8426650548
Kurtosis5.600520419
Mean2.661573405
Median Absolute Deviation (MAD)1
Skewness1.592574703
Sum12890
Variance5.030218672
MonotonicityNot monotonic
2022-11-23T19:36:28.264809image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
21037
21.4%
3852
17.6%
0810
16.7%
1751
15.5%
4597
12.3%
5347
 
7.2%
6190
 
3.9%
7110
 
2.3%
858
 
1.2%
934
 
0.7%
Other values (11)57
 
1.2%
ValueCountFrequency (%)
0810
16.7%
1751
15.5%
21037
21.4%
3852
17.6%
4597
12.3%
ValueCountFrequency (%)
211
 
< 0.1%
193
0.1%
181
 
< 0.1%
171
 
< 0.1%
161
 
< 0.1%

EIC7
Real number (ℝ≥0)

ZEROS

Distinct25
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.337394177
Minimum0
Maximum50
Zeros445
Zeros (%)9.2%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:28.318904image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q36
95-th percentile10
Maximum50
Range50
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.068093316
Coefficient of variation (CV)0.7073586561
Kurtosis15.06405858
Mean4.337394177
Median Absolute Deviation (MAD)2
Skewness1.862400929
Sum21006
Variance9.413196595
MonotonicityNot monotonic
2022-11-23T19:36:28.377325image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3703
14.5%
4669
13.8%
5635
13.1%
2606
12.5%
6493
10.2%
0445
9.2%
7327
6.8%
1326
6.7%
8252
 
5.2%
9141
 
2.9%
Other values (15)246
 
5.1%
ValueCountFrequency (%)
0445
9.2%
1326
6.7%
2606
12.5%
3703
14.5%
4669
13.8%
ValueCountFrequency (%)
501
< 0.1%
361
< 0.1%
331
< 0.1%
231
< 0.1%
222
< 0.1%

EIC8
Real number (ℝ≥0)

ZEROS

Distinct51
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.96138757
Minimum0
Maximum85
Zeros57
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:28.444451image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q113
median16
Q320
95-th percentile27
Maximum85
Range85
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.210904647
Coefficient of variation (CV)0.3661790417
Kurtosis4.967563002
Mean16.96138757
Median Absolute Deviation (MAD)4
Skewness0.8400479369
Sum82144
Variance38.57533653
MonotonicityNot monotonic
2022-11-23T19:36:28.513624image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16422
 
8.7%
17365
 
7.5%
15359
 
7.4%
14347
 
7.2%
18325
 
6.7%
19289
 
6.0%
20279
 
5.8%
13271
 
5.6%
12247
 
5.1%
11224
 
4.6%
Other values (41)1715
35.4%
ValueCountFrequency (%)
057
1.2%
23
 
0.1%
39
 
0.2%
417
 
0.4%
518
 
0.4%
ValueCountFrequency (%)
851
< 0.1%
571
< 0.1%
531
< 0.1%
511
< 0.1%
501
< 0.1%

EIC9
Real number (ℝ≥0)

ZEROS

Distinct34
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.113359488
Minimum0
Maximum53
Zeros224
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:28.578990image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median6
Q310
95-th percentile16
Maximum53
Range53
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.671504963
Coefficient of variation (CV)0.6567227442
Kurtosis3.99672086
Mean7.113359488
Median Absolute Deviation (MAD)3
Skewness1.293235551
Sum34450
Variance21.82295862
MonotonicityNot monotonic
2022-11-23T19:36:28.642605image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
4497
10.3%
5481
9.9%
6474
9.8%
7422
 
8.7%
3410
 
8.5%
8379
 
7.8%
9330
 
6.8%
2295
 
6.1%
10274
 
5.7%
0224
 
4.6%
Other values (24)1057
21.8%
ValueCountFrequency (%)
0224
4.6%
1111
 
2.3%
2295
6.1%
3410
8.5%
4497
10.3%
ValueCountFrequency (%)
531
 
< 0.1%
332
 
< 0.1%
312
 
< 0.1%
305
0.1%
292
 
< 0.1%

EIC10
Real number (ℝ≥0)

ZEROS

Distinct26
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.680156928
Minimum0
Maximum47
Zeros314
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:28.701657image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median4
Q36
95-th percentile10
Maximum47
Range47
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.028147012
Coefficient of variation (CV)0.6470182643
Kurtosis14.90496764
Mean4.680156928
Median Absolute Deviation (MAD)2
Skewness1.925489931
Sum22666
Variance9.169674325
MonotonicityNot monotonic
2022-11-23T19:36:28.758879image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
4802
16.6%
5715
14.8%
3685
14.1%
6517
10.7%
2517
10.7%
7373
7.7%
0314
 
6.5%
8249
 
5.1%
1228
 
4.7%
9162
 
3.3%
Other values (16)281
 
5.8%
ValueCountFrequency (%)
0314
 
6.5%
1228
 
4.7%
2517
10.7%
3685
14.1%
4802
16.6%
ValueCountFrequency (%)
471
< 0.1%
411
< 0.1%
281
< 0.1%
261
< 0.1%
242
< 0.1%

EIC11
Real number (ℝ≥0)

ZEROS

Distinct30
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.256039645
Minimum0
Maximum60
Zeros620
Zeros (%)12.8%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:28.817988image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q34
95-th percentile9
Maximum60
Range60
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.222779786
Coefficient of variation (CV)0.98978518
Kurtosis34.28219345
Mean3.256039645
Median Absolute Deviation (MAD)1
Skewness3.835911976
Sum15769
Variance10.38630955
MonotonicityNot monotonic
2022-11-23T19:36:28.877023image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
21032
21.3%
3934
19.3%
1646
13.3%
0620
12.8%
4566
11.7%
5359
 
7.4%
6200
 
4.1%
7140
 
2.9%
885
 
1.8%
971
 
1.5%
Other values (20)190
 
3.9%
ValueCountFrequency (%)
0620
12.8%
1646
13.3%
21032
21.3%
3934
19.3%
4566
11.7%
ValueCountFrequency (%)
601
< 0.1%
362
< 0.1%
341
< 0.1%
322
< 0.1%
252
< 0.1%

EIC12
Real number (ℝ≥0)

ZEROS

Distinct28
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.632252736
Minimum0
Maximum61
Zeros1633
Zeros (%)33.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:28.939563image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5
Maximum61
Range61
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.444004969
Coefficient of variation (CV)1.497320185
Kurtosis103.1300719
Mean1.632252736
Median Absolute Deviation (MAD)1
Skewness6.771639981
Sum7905
Variance5.97316029
MonotonicityNot monotonic
2022-11-23T19:36:28.997348image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
01633
33.7%
11314
27.1%
2943
19.5%
3410
 
8.5%
4210
 
4.3%
597
 
2.0%
683
 
1.7%
747
 
1.0%
924
 
0.5%
819
 
0.4%
Other values (18)63
 
1.3%
ValueCountFrequency (%)
01633
33.7%
11314
27.1%
2943
19.5%
3410
 
8.5%
4210
 
4.3%
ValueCountFrequency (%)
611
< 0.1%
352
< 0.1%
331
< 0.1%
251
< 0.1%
241
< 0.1%

EIC13
Real number (ℝ≥0)

ZEROS

Distinct40
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.982448895
Minimum0
Maximum99
Zeros162
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:29.066226image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median7
Q310
95-th percentile16
Maximum99
Range99
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.716268262
Coefficient of variation (CV)0.5908297471
Kurtosis35.25743474
Mean7.982448895
Median Absolute Deviation (MAD)2
Skewness2.94024406
Sum38659
Variance22.24318632
MonotonicityNot monotonic
2022-11-23T19:36:29.134362image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
7556
11.5%
6518
10.7%
8512
10.6%
5459
9.5%
9429
8.9%
10368
 
7.6%
4331
 
6.8%
11287
 
5.9%
3229
 
4.7%
12199
 
4.1%
Other values (30)955
19.7%
ValueCountFrequency (%)
0162
3.3%
150
 
1.0%
2151
3.1%
3229
4.7%
4331
6.8%
ValueCountFrequency (%)
991
 
< 0.1%
551
 
< 0.1%
461
 
< 0.1%
422
< 0.1%
403
0.1%

EIC14
Real number (ℝ≥0)

ZEROS

Distinct49
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.092298162
Minimum0
Maximum72
Zeros199
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:29.205171image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median7
Q310
95-th percentile17
Maximum72
Range72
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.498596245
Coefficient of variation (CV)0.679485127
Kurtosis12.83199822
Mean8.092298162
Median Absolute Deviation (MAD)3
Skewness2.369333125
Sum39191
Variance30.23456066
MonotonicityNot monotonic
2022-11-23T19:36:29.349606image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
6553
11.4%
7491
10.1%
5485
10.0%
8471
9.7%
9364
 
7.5%
4340
 
7.0%
10309
 
6.4%
3277
 
5.7%
11223
 
4.6%
12199
 
4.1%
Other values (39)1131
23.4%
ValueCountFrequency (%)
0199
4.1%
182
 
1.7%
2151
3.1%
3277
5.7%
4340
7.0%
ValueCountFrequency (%)
721
< 0.1%
581
< 0.1%
571
< 0.1%
502
< 0.1%
491
< 0.1%

EIC15
Real number (ℝ≥0)

ZEROS

Distinct36
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.678505059
Minimum0
Maximum54
Zeros224
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:29.418007image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median6
Q39
95-th percentile15
Maximum54
Range54
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.445466351
Coefficient of variation (CV)0.6656379403
Kurtosis7.508881486
Mean6.678505059
Median Absolute Deviation (MAD)2
Skewness1.776064906
Sum32344
Variance19.76217108
MonotonicityNot monotonic
2022-11-23T19:36:29.482162image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
5584
12.1%
4555
11.5%
6546
11.3%
7462
9.5%
3450
9.3%
8399
8.2%
9313
 
6.5%
2263
 
5.4%
10229
 
4.7%
0224
 
4.6%
Other values (26)818
16.9%
ValueCountFrequency (%)
0224
4.6%
1105
 
2.2%
2263
5.4%
3450
9.3%
4555
11.5%
ValueCountFrequency (%)
541
 
< 0.1%
461
 
< 0.1%
341
 
< 0.1%
331
 
< 0.1%
323
0.1%

EIC16
Real number (ℝ≥0)

ZEROS

Distinct35
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.505058848
Minimum0
Maximum37
Zeros481
Zeros (%)9.9%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:29.545904image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q36
95-th percentile12
Maximum37
Range37
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.010329137
Coefficient of variation (CV)0.8901835187
Kurtosis7.764382142
Mean4.505058848
Median Absolute Deviation (MAD)2
Skewness2.161034567
Sum21818
Variance16.08273979
MonotonicityNot monotonic
2022-11-23T19:36:29.606740image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
3722
14.9%
2705
14.6%
4658
13.6%
5481
9.9%
0481
9.9%
1424
8.8%
6369
7.6%
7249
 
5.1%
8182
 
3.8%
9132
 
2.7%
Other values (25)440
9.1%
ValueCountFrequency (%)
0481
9.9%
1424
8.8%
2705
14.6%
3722
14.9%
4658
13.6%
ValueCountFrequency (%)
371
< 0.1%
351
< 0.1%
341
< 0.1%
312
< 0.1%
301
< 0.1%

OEDC1
Real number (ℝ≥0)

ZEROS

Distinct33
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.8767293
Minimum0
Maximum36
Zeros206
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:29.671773image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median6
Q39
95-th percentile14
Maximum36
Range36
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.151991689
Coefficient of variation (CV)0.6037741938
Kurtosis3.711701379
Mean6.8767293
Median Absolute Deviation (MAD)2
Skewness1.247315399
Sum33304
Variance17.23903498
MonotonicityNot monotonic
2022-11-23T19:36:29.732964image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
5591
12.2%
6575
11.9%
7524
10.8%
4485
10.0%
8427
8.8%
9360
7.4%
3332
 
6.9%
10248
 
5.1%
2228
 
4.7%
0206
 
4.3%
Other values (23)867
17.9%
ValueCountFrequency (%)
0206
4.3%
1110
 
2.3%
2228
4.7%
3332
6.9%
4485
10.0%
ValueCountFrequency (%)
362
< 0.1%
351
< 0.1%
341
< 0.1%
311
< 0.1%
301
< 0.1%

OEDC2
Real number (ℝ≥0)

ZEROS

Distinct44
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.697501549
Minimum0
Maximum50
Zeros619
Zeros (%)12.8%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:29.800727image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q36
95-th percentile14
Maximum50
Range50
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.11264761
Coefficient of variation (CV)1.088375929
Kurtosis11.57340991
Mean4.697501549
Median Absolute Deviation (MAD)2
Skewness2.740652501
Sum22750
Variance26.13916559
MonotonicityNot monotonic
2022-11-23T19:36:29.869535image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
2751
15.5%
3673
13.9%
0619
12.8%
1520
10.7%
4512
10.6%
5364
7.5%
6305
6.3%
7240
 
5.0%
8147
 
3.0%
9140
 
2.9%
Other values (34)572
11.8%
ValueCountFrequency (%)
0619
12.8%
1520
10.7%
2751
15.5%
3673
13.9%
4512
10.6%
ValueCountFrequency (%)
501
< 0.1%
481
< 0.1%
471
< 0.1%
411
< 0.1%
402
< 0.1%

OEDC3
Real number (ℝ≥0)

ZEROS

Distinct39
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.086516622
Minimum0
Maximum60
Zeros944
Zeros (%)19.5%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:29.936107image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile10
Maximum60
Range60
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.96063732
Coefficient of variation (CV)1.283206218
Kurtosis26.74210812
Mean3.086516622
Median Absolute Deviation (MAD)1
Skewness3.930975159
Sum14948
Variance15.68664798
MonotonicityNot monotonic
2022-11-23T19:36:29.999521image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0944
19.5%
2939
19.4%
1922
19.0%
3652
13.5%
4427
8.8%
5244
 
5.0%
6160
 
3.3%
7136
 
2.8%
8104
 
2.1%
958
 
1.2%
Other values (29)257
 
5.3%
ValueCountFrequency (%)
0944
19.5%
1922
19.0%
2939
19.4%
3652
13.5%
4427
8.8%
ValueCountFrequency (%)
601
< 0.1%
411
< 0.1%
391
< 0.1%
382
< 0.1%
372
< 0.1%

OEDC4
Real number (ℝ≥0)

ZEROS

Distinct43
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.362998142
Minimum0
Maximum71
Zeros192
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:30.068471image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median7
Q311
95-th percentile19
Maximum71
Range71
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.758026011
Coefficient of variation (CV)0.6885121715
Kurtosis6.557929293
Mean8.362998142
Median Absolute Deviation (MAD)3
Skewness1.736199981
Sum40502
Variance33.15486354
MonotonicityNot monotonic
2022-11-23T19:36:30.133308image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
6482
 
10.0%
7467
 
9.6%
5446
 
9.2%
4437
 
9.0%
8387
 
8.0%
9327
 
6.8%
3282
 
5.8%
10266
 
5.5%
11234
 
4.8%
0192
 
4.0%
Other values (33)1323
27.3%
ValueCountFrequency (%)
0192
4.0%
186
 
1.8%
2177
3.7%
3282
5.8%
4437
9.0%
ValueCountFrequency (%)
711
< 0.1%
531
< 0.1%
451
< 0.1%
401
< 0.1%
391
< 0.1%

OEDC5
Real number (ℝ≥0)

Distinct72
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.6956432
Minimum0
Maximum99
Zeros37
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:30.205865image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile51
Q164
median71
Q377
95-th percentile85
Maximum99
Range99
Interquartile range (IQR)13

Descriptive statistics

Standard deviation11.91926387
Coefficient of variation (CV)0.1710187801
Kurtosis7.99218078
Mean69.6956432
Median Absolute Deviation (MAD)6
Skewness-1.838103564
Sum337536
Variance142.0688513
MonotonicityNot monotonic
2022-11-23T19:36:30.276374image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
73225
 
4.6%
74219
 
4.5%
76218
 
4.5%
72209
 
4.3%
75198
 
4.1%
70196
 
4.0%
71189
 
3.9%
77186
 
3.8%
68177
 
3.7%
67172
 
3.6%
Other values (62)2854
58.9%
ValueCountFrequency (%)
037
0.8%
261
 
< 0.1%
271
 
< 0.1%
282
 
< 0.1%
293
 
0.1%
ValueCountFrequency (%)
9910
0.2%
971
 
< 0.1%
963
 
0.1%
943
 
0.1%
934
 
0.1%

OEDC6
Real number (ℝ≥0)

ZEROS

Distinct37
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.021680776
Minimum0
Maximum47
Zeros246
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:30.417120image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median5
Q38
95-th percentile13
Maximum47
Range47
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.188917626
Coefficient of variation (CV)0.6956392711
Kurtosis9.713499774
Mean6.021680776
Median Absolute Deviation (MAD)2
Skewness2.049441427
Sum29163
Variance17.54703088
MonotonicityNot monotonic
2022-11-23T19:36:30.479669image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
5618
12.8%
4614
12.7%
6550
11.4%
3539
11.1%
7432
8.9%
2357
7.4%
8349
7.2%
9248
 
5.1%
0246
 
5.1%
10205
 
4.2%
Other values (27)685
14.1%
ValueCountFrequency (%)
0246
5.1%
1153
 
3.2%
2357
7.4%
3539
11.1%
4614
12.7%
ValueCountFrequency (%)
471
< 0.1%
401
< 0.1%
392
< 0.1%
382
< 0.1%
371
< 0.1%

OEDC7
Real number (ℝ≥0)

ZEROS

Distinct13
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5102209374
Minimum0
Maximum14
Zeros3286
Zeros (%)67.9%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:30.534256image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum14
Range14
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.002294359
Coefficient of variation (CV)1.964432044
Kurtosis24.68696969
Mean0.5102209374
Median Absolute Deviation (MAD)0
Skewness3.785499339
Sum2471
Variance1.004593983
MonotonicityNot monotonic
2022-11-23T19:36:30.580693image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
03286
67.9%
11048
 
21.6%
2306
 
6.3%
3120
 
2.5%
437
 
0.8%
517
 
0.4%
614
 
0.3%
84
 
0.1%
74
 
0.1%
92
 
< 0.1%
Other values (3)5
 
0.1%
ValueCountFrequency (%)
03286
67.9%
11048
 
21.6%
2306
 
6.3%
3120
 
2.5%
437
 
0.8%
ValueCountFrequency (%)
141
 
< 0.1%
112
< 0.1%
102
< 0.1%
92
< 0.1%
84
0.1%

EC1
Real number (ℝ≥0)

Distinct74
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.0840388
Minimum0
Maximum170
Zeros32
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:30.644946image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile120
Q1120
median120
Q3140
95-th percentile160
Maximum170
Range170
Interquartile range (IQR)20

Descriptive statistics

Standard deviation17.34430829
Coefficient of variation (CV)0.1343644687
Kurtosis18.56212995
Mean129.0840388
Median Absolute Deviation (MAD)3
Skewness-2.228985394
Sum625154
Variance300.8250302
MonotonicityNot monotonic
2022-11-23T19:36:30.713870image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1202240
46.3%
140563
 
11.6%
160361
 
7.5%
12871
 
1.5%
12366
 
1.4%
12765
 
1.3%
13060
 
1.2%
13653
 
1.1%
12452
 
1.1%
12552
 
1.1%
Other values (64)1260
26.0%
ValueCountFrequency (%)
032
0.7%
8912
 
0.2%
903
 
0.1%
911
 
< 0.1%
923
 
0.1%
ValueCountFrequency (%)
1703
 
0.1%
1622
 
< 0.1%
1613
 
0.1%
160361
7.5%
15916
 
0.3%

EC2
Real number (ℝ≥0)

ZEROS

Distinct58
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.218046665
Minimum0
Maximum99
Zeros347
Zeros (%)7.2%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:30.788432image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median6
Q311
95-th percentile24
Maximum99
Range99
Interquartile range (IQR)8

Descriptive statistics

Standard deviation8.185324295
Coefficient of variation (CV)0.9960182302
Kurtosis8.020462997
Mean8.218046665
Median Absolute Deviation (MAD)4
Skewness2.150206399
Sum39800
Variance66.99953381
MonotonicityNot monotonic
2022-11-23T19:36:30.861705image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2444
 
9.2%
3413
 
8.5%
1404
 
8.3%
4382
 
7.9%
0347
 
7.2%
5338
 
7.0%
6310
 
6.4%
7259
 
5.3%
8243
 
5.0%
10184
 
3.8%
Other values (48)1519
31.4%
ValueCountFrequency (%)
0347
7.2%
1404
8.3%
2444
9.2%
3413
8.5%
4382
7.9%
ValueCountFrequency (%)
991
< 0.1%
651
< 0.1%
581
< 0.1%
541
< 0.1%
532
< 0.1%

EC3
Real number (ℝ≥0)

ZEROS

Distinct49
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.32335329
Minimum0
Maximum56
Zeros94
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:30.933843image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median12
Q317
95-th percentile25
Maximum56
Range56
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.381748884
Coefficient of variation (CV)0.59900489
Kurtosis0.7752582258
Mean12.32335329
Median Absolute Deviation (MAD)5
Skewness0.7172005839
Sum59682
Variance54.49021659
MonotonicityNot monotonic
2022-11-23T19:36:30.999743image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
8259
 
5.3%
11257
 
5.3%
10254
 
5.2%
13252
 
5.2%
9247
 
5.1%
7247
 
5.1%
12237
 
4.9%
15233
 
4.8%
6225
 
4.6%
3218
 
4.5%
Other values (39)2414
49.8%
ValueCountFrequency (%)
094
1.9%
182
 
1.7%
2141
2.9%
3218
4.5%
4178
3.7%
ValueCountFrequency (%)
561
< 0.1%
521
< 0.1%
491
< 0.1%
481
< 0.1%
441
< 0.1%

EC4
Real number (ℝ≥0)

Distinct61
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.1371051
Minimum0
Maximum68
Zeros44
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:31.071088image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11
Q121
median29
Q335
95-th percentile44
Maximum68
Range68
Interquartile range (IQR)14

Descriptive statistics

Standard deviation10.24169869
Coefficient of variation (CV)0.363992623
Kurtosis-0.081441993
Mean28.1371051
Median Absolute Deviation (MAD)7
Skewness-0.1343431684
Sum136268
Variance104.892392
MonotonicityNot monotonic
2022-11-23T19:36:31.141748image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28204
 
4.2%
32203
 
4.2%
33197
 
4.1%
34191
 
3.9%
29190
 
3.9%
30181
 
3.7%
27177
 
3.7%
31174
 
3.6%
26168
 
3.5%
36168
 
3.5%
Other values (51)2990
61.7%
ValueCountFrequency (%)
044
0.9%
25
 
0.1%
37
 
0.1%
49
 
0.2%
511
 
0.2%
ValueCountFrequency (%)
681
 
< 0.1%
671
 
< 0.1%
651
 
< 0.1%
611
 
< 0.1%
593
0.1%

EC5
Real number (ℝ≥0)

Distinct46
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.18067314
Minimum0
Maximum47
Zeros45
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:31.214841image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q117
median21
Q326
95-th percentile32
Maximum47
Range47
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.934771783
Coefficient of variation (CV)0.3274103584
Kurtosis0.3097065687
Mean21.18067314
Median Absolute Deviation (MAD)5
Skewness-0.10027523
Sum102578
Variance48.09105969
MonotonicityNot monotonic
2022-11-23T19:36:31.282711image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
21319
 
6.6%
23285
 
5.9%
22271
 
5.6%
20258
 
5.3%
19252
 
5.2%
18251
 
5.2%
25242
 
5.0%
24241
 
5.0%
17236
 
4.9%
26231
 
4.8%
Other values (36)2257
46.6%
ValueCountFrequency (%)
045
0.9%
13
 
0.1%
22
 
< 0.1%
35
 
0.1%
515
 
0.3%
ValueCountFrequency (%)
471
 
< 0.1%
452
 
< 0.1%
443
0.1%
432
 
< 0.1%
426
0.1%

EC6
Real number (ℝ≥0)

ZEROS

Distinct26
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.742927937
Minimum0
Maximum31
Zeros120
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:31.344957image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median6
Q39
95-th percentile13
Maximum31
Range31
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.4347925
Coefficient of variation (CV)0.5093918447
Kurtosis1.4614618
Mean6.742927937
Median Absolute Deviation (MAD)2
Skewness0.6676902501
Sum32656
Variance11.79779952
MonotonicityNot monotonic
2022-11-23T19:36:31.475398image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
6603
12.5%
7564
11.6%
5528
10.9%
8499
10.3%
4494
10.2%
9423
8.7%
3375
7.7%
10315
6.5%
2227
 
4.7%
11203
 
4.2%
Other values (16)612
12.6%
ValueCountFrequency (%)
0120
 
2.5%
186
 
1.8%
2227
4.7%
3375
7.7%
4494
10.2%
ValueCountFrequency (%)
311
< 0.1%
301
< 0.1%
241
< 0.1%
222
< 0.1%
212
< 0.1%

EC7
Real number (ℝ≥0)

ZEROS

Distinct54
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.81953335
Minimum0
Maximum56
Zeros91
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:31.541902image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q17
median13
Q321
95-th percentile33
Maximum56
Range56
Interquartile range (IQR)14

Descriptive statistics

Standard deviation9.768787934
Coefficient of variation (CV)0.6591832351
Kurtosis0.1972549517
Mean14.81953335
Median Absolute Deviation (MAD)6
Skewness0.8286494648
Sum71771
Variance95.42921771
MonotonicityNot monotonic
2022-11-23T19:36:31.607638image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8271
 
5.6%
10256
 
5.3%
6247
 
5.1%
7244
 
5.0%
5227
 
4.7%
9218
 
4.5%
11200
 
4.1%
12188
 
3.9%
4181
 
3.7%
13177
 
3.7%
Other values (44)2634
54.4%
ValueCountFrequency (%)
091
1.9%
150
 
1.0%
295
2.0%
3135
2.8%
4181
3.7%
ValueCountFrequency (%)
561
< 0.1%
541
< 0.1%
532
< 0.1%
512
< 0.1%
492
< 0.1%

EC8
Real number (ℝ≥0)

ZEROS

Distinct53
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.867850506
Minimum0
Maximum59
Zeros259
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:31.678564image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median6
Q311
95-th percentile23
Maximum59
Range59
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.274766474
Coefficient of variation (CV)0.9246193059
Kurtosis4.58006689
Mean7.867850506
Median Absolute Deviation (MAD)4
Skewness1.824846223
Sum38104
Variance52.92222725
MonotonicityNot monotonic
2022-11-23T19:36:31.747949image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3521
 
10.8%
2471
 
9.7%
4462
 
9.5%
5403
 
8.3%
6320
 
6.6%
1287
 
5.9%
7261
 
5.4%
0259
 
5.3%
8239
 
4.9%
9200
 
4.1%
Other values (43)1420
29.3%
ValueCountFrequency (%)
0259
5.3%
1287
5.9%
2471
9.7%
3521
10.8%
4462
9.5%
ValueCountFrequency (%)
591
< 0.1%
581
< 0.1%
551
< 0.1%
531
< 0.1%
521
< 0.1%

SEC1
Real number (ℝ≥0)

ZEROS

Distinct39
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.709271113
Minimum0
Maximum81
Zeros463
Zeros (%)9.6%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:31.818817image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q35
95-th percentile9
Maximum81
Range81
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.065466277
Coefficient of variation (CV)1.096028345
Kurtosis90.47689598
Mean3.709271113
Median Absolute Deviation (MAD)2
Skewness6.810487663
Sum17964
Variance16.52801605
MonotonicityNot monotonic
2022-11-23T19:36:31.885957image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
2848
17.5%
1783
16.2%
3747
15.4%
4590
12.2%
0463
9.6%
5447
9.2%
6296
 
6.1%
7220
 
4.5%
8129
 
2.7%
987
 
1.8%
Other values (29)233
 
4.8%
ValueCountFrequency (%)
0463
9.6%
1783
16.2%
2848
17.5%
3747
15.4%
4590
12.2%
ValueCountFrequency (%)
811
< 0.1%
751
< 0.1%
681
< 0.1%
582
< 0.1%
541
< 0.1%

SEC2
Real number (ℝ≥0)

Distinct59
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.85257072
Minimum0
Maximum69
Zeros47
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:31.960160image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q118
median22
Q326
95-th percentile33
Maximum69
Range69
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.469817216
Coefficient of variation (CV)0.3418278477
Kurtosis1.909892682
Mean21.85257072
Median Absolute Deviation (MAD)4
Skewness0.00103925812
Sum105832
Variance55.79816925
MonotonicityNot monotonic
2022-11-23T19:36:32.030110image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22330
 
6.8%
23328
 
6.8%
25309
 
6.4%
24303
 
6.3%
21276
 
5.7%
26274
 
5.7%
20251
 
5.2%
19245
 
5.1%
27240
 
5.0%
18206
 
4.3%
Other values (49)2081
43.0%
ValueCountFrequency (%)
047
1.0%
110
 
0.2%
210
 
0.2%
321
0.4%
422
0.5%
ValueCountFrequency (%)
691
< 0.1%
661
< 0.1%
651
< 0.1%
611
< 0.1%
581
< 0.1%

SEC3
Real number (ℝ≥0)

ZEROS

Distinct12
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.881271939
Minimum0
Maximum11
Zeros689
Zeros (%)14.2%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:32.093582image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile4
Maximum11
Range11
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.354595904
Coefficient of variation (CV)0.7200425818
Kurtosis1.929179979
Mean1.881271939
Median Absolute Deviation (MAD)1
Skewness0.9440955638
Sum9111
Variance1.834930063
MonotonicityNot monotonic
2022-11-23T19:36:32.142507image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
21435
29.6%
11372
28.3%
3822
17.0%
0689
14.2%
4335
 
6.9%
5124
 
2.6%
640
 
0.8%
714
 
0.3%
86
 
0.1%
94
 
0.1%
Other values (2)2
 
< 0.1%
ValueCountFrequency (%)
0689
14.2%
11372
28.3%
21435
29.6%
3822
17.0%
4335
 
6.9%
ValueCountFrequency (%)
111
 
< 0.1%
101
 
< 0.1%
94
 
0.1%
86
0.1%
714
0.3%

SEC4
Real number (ℝ≥0)

ZEROS

Distinct42
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.82965104
Minimum0
Maximum44
Zeros75
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:32.204195image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q113
median17
Q321
95-th percentile26
Maximum44
Range44
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.288310295
Coefficient of variation (CV)0.3736447226
Kurtosis0.601728014
Mean16.82965104
Median Absolute Deviation (MAD)4
Skewness-0.2656517184
Sum81506
Variance39.54284637
MonotonicityNot monotonic
2022-11-23T19:36:32.267287image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
18373
 
7.7%
20363
 
7.5%
19337
 
7.0%
21329
 
6.8%
17311
 
6.4%
15305
 
6.3%
16300
 
6.2%
22250
 
5.2%
14228
 
4.7%
13214
 
4.4%
Other values (32)1833
37.8%
ValueCountFrequency (%)
075
1.5%
131
0.6%
230
 
0.6%
335
0.7%
440
0.8%
ValueCountFrequency (%)
441
 
< 0.1%
414
0.1%
391
 
< 0.1%
382
 
< 0.1%
375
0.1%

SEC5
Real number (ℝ≥0)

ZEROS

Distinct54
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.861862482
Minimum0
Maximum86
Zeros93
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:32.336016image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median6
Q38
95-th percentile14
Maximum86
Range86
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.45104354
Coefficient of variation (CV)0.794397083
Kurtosis42.24539832
Mean6.861862482
Median Absolute Deviation (MAD)2
Skewness4.857529674
Sum33232
Variance29.71387567
MonotonicityNot monotonic
2022-11-23T19:36:32.404211image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5604
12.5%
4563
11.6%
6532
11.0%
7515
10.6%
3496
10.2%
8451
9.3%
9335
6.9%
2289
6.0%
10223
 
4.6%
11150
 
3.1%
Other values (44)685
14.1%
ValueCountFrequency (%)
093
 
1.9%
1117
 
2.4%
2289
6.0%
3496
10.2%
4563
11.6%
ValueCountFrequency (%)
861
< 0.1%
702
< 0.1%
651
< 0.1%
642
< 0.1%
611
< 0.1%

AFC1
Real number (ℝ≥0)

ZEROS

Distinct33
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5756762337
Minimum0
Maximum81
Zeros3975
Zeros (%)82.1%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:32.545665image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum81
Range81
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.022940468
Coefficient of variation (CV)5.251112155
Kurtosis324.7611008
Mean0.5756762337
Median Absolute Deviation (MAD)0
Skewness15.37658225
Sum2788
Variance9.138169075
MonotonicityNot monotonic
2022-11-23T19:36:32.606684image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
03975
82.1%
1476
 
9.8%
2163
 
3.4%
365
 
1.3%
439
 
0.8%
521
 
0.4%
716
 
0.3%
913
 
0.3%
612
 
0.2%
810
 
0.2%
Other values (23)53
 
1.1%
ValueCountFrequency (%)
03975
82.1%
1476
 
9.8%
2163
 
3.4%
365
 
1.3%
439
 
0.8%
ValueCountFrequency (%)
812
< 0.1%
701
< 0.1%
531
< 0.1%
521
< 0.1%
421
< 0.1%

AFC2
Real number (ℝ≥0)

ZEROS

Distinct46
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.034895726
Minimum0
Maximum93
Zeros3706
Zeros (%)76.5%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:32.675513image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum93
Range93
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.527740523
Coefficient of variation (CV)4.375069305
Kurtosis162.0873723
Mean1.034895726
Median Absolute Deviation (MAD)0
Skewness10.91916687
Sum5012
Variance20.50043425
MonotonicityNot monotonic
2022-11-23T19:36:32.741522image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
03706
76.5%
1492
 
10.2%
2210
 
4.3%
3115
 
2.4%
481
 
1.7%
549
 
1.0%
626
 
0.5%
722
 
0.5%
822
 
0.5%
912
 
0.2%
Other values (36)108
 
2.2%
ValueCountFrequency (%)
03706
76.5%
1492
 
10.2%
2210
 
4.3%
3115
 
2.4%
481
 
1.7%
ValueCountFrequency (%)
931
< 0.1%
911
< 0.1%
871
< 0.1%
831
< 0.1%
641
< 0.1%

AFC3
Real number (ℝ≥0)

ZEROS

Distinct16
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1408218047
Minimum0
Maximum35
Zeros4567
Zeros (%)94.3%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:32.798941image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum35
Range35
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.019832207
Coefficient of variation (CV)7.242004953
Kurtosis508.2760445
Mean0.1408218047
Median Absolute Deviation (MAD)0
Skewness18.94514958
Sum682
Variance1.04005773
MonotonicityNot monotonic
2022-11-23T19:36:32.849162image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
04567
94.3%
1150
 
3.1%
257
 
1.2%
327
 
0.6%
411
 
0.2%
58
 
0.2%
86
 
0.1%
65
 
0.1%
74
 
0.1%
102
 
< 0.1%
Other values (6)6
 
0.1%
ValueCountFrequency (%)
04567
94.3%
1150
 
3.1%
257
 
1.2%
327
 
0.6%
411
 
0.2%
ValueCountFrequency (%)
351
< 0.1%
281
< 0.1%
261
< 0.1%
151
< 0.1%
121
< 0.1%

AFC4
Real number (ℝ≥0)

Distinct42
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.79537477
Minimum0
Maximum50
Zeros43
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:32.911319image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q113
median16
Q319
95-th percentile24
Maximum50
Range50
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.233700261
Coefficient of variation (CV)0.3313438483
Kurtosis1.638217692
Mean15.79537477
Median Absolute Deviation (MAD)3
Skewness0.2597424916
Sum76497
Variance27.39161842
MonotonicityNot monotonic
2022-11-23T19:36:32.979687image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
16429
 
8.9%
15419
 
8.7%
14388
 
8.0%
13378
 
7.8%
17364
 
7.5%
18337
 
7.0%
19303
 
6.3%
20275
 
5.7%
12272
 
5.6%
11269
 
5.6%
Other values (32)1409
29.1%
ValueCountFrequency (%)
043
0.9%
13
 
0.1%
28
 
0.2%
314
 
0.3%
416
 
0.3%
ValueCountFrequency (%)
501
 
< 0.1%
471
 
< 0.1%
411
 
< 0.1%
403
0.1%
381
 
< 0.1%

AFC5
Real number (ℝ≥0)

Distinct77
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.71959529
Minimum0
Maximum85
Zeros42
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:33.050953image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15
Q125
median32
Q338
95-th percentile49
Maximum85
Range85
Interquartile range (IQR)13

Descriptive statistics

Standard deviation10.42527362
Coefficient of variation (CV)0.3286698184
Kurtosis1.161166738
Mean31.71959529
Median Absolute Deviation (MAD)6
Skewness0.149243977
Sum153618
Variance108.6863301
MonotonicityNot monotonic
2022-11-23T19:36:33.118232image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32240
 
5.0%
33214
 
4.4%
29207
 
4.3%
31205
 
4.2%
30204
 
4.2%
27191
 
3.9%
35189
 
3.9%
28187
 
3.9%
37185
 
3.8%
34185
 
3.8%
Other values (67)2836
58.6%
ValueCountFrequency (%)
042
0.9%
11
 
< 0.1%
23
 
0.1%
31
 
< 0.1%
46
 
0.1%
ValueCountFrequency (%)
851
< 0.1%
791
< 0.1%
771
< 0.1%
762
< 0.1%
731
< 0.1%

AFC6
Real number (ℝ≥0)

ZEROS

Distinct16
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.296923395
Minimum0
Maximum22
Zeros1893
Zeros (%)39.1%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:33.177783image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum22
Range22
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.62468973
Coefficient of variation (CV)1.252726057
Kurtosis13.21070627
Mean1.296923395
Median Absolute Deviation (MAD)1
Skewness2.534240024
Sum6281
Variance2.63961672
MonotonicityNot monotonic
2022-11-23T19:36:33.227147image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
01893
39.1%
11323
27.3%
2837
17.3%
3379
 
7.8%
4198
 
4.1%
5108
 
2.2%
644
 
0.9%
718
 
0.4%
817
 
0.4%
910
 
0.2%
Other values (6)16
 
0.3%
ValueCountFrequency (%)
01893
39.1%
11323
27.3%
2837
17.3%
3379
 
7.8%
4198
 
4.1%
ValueCountFrequency (%)
221
 
< 0.1%
161
 
< 0.1%
142
 
< 0.1%
124
0.1%
115
0.1%

VC1
Real number (ℝ≥0)

ZEROS

Distinct85
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.30724757
Minimum0
Maximum99
Zeros167
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:33.290624image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q121
median29
Q339
95-th percentile55.9
Maximum99
Range99
Interquartile range (IQR)18

Descriptive statistics

Standard deviation14.66403896
Coefficient of variation (CV)0.483845949
Kurtosis0.7429062682
Mean30.30724757
Median Absolute Deviation (MAD)9
Skewness0.3934038875
Sum146778
Variance215.0340387
MonotonicityNot monotonic
2022-11-23T19:36:33.362432image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0167
 
3.4%
28164
 
3.4%
27158
 
3.3%
29155
 
3.2%
32152
 
3.1%
26150
 
3.1%
24146
 
3.0%
31142
 
2.9%
30141
 
2.9%
33132
 
2.7%
Other values (75)3336
68.9%
ValueCountFrequency (%)
0167
3.4%
23
 
0.1%
311
 
0.2%
416
 
0.3%
515
 
0.3%
ValueCountFrequency (%)
997
0.1%
891
 
< 0.1%
841
 
< 0.1%
822
 
< 0.1%
813
0.1%

VC2
Real number (ℝ≥0)

ZEROS

Distinct61
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.24241173
Minimum0
Maximum99
Zeros281
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:33.435636image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112
median18
Q324
95-th percentile35
Maximum99
Range99
Interquartile range (IQR)12

Descriptive statistics

Standard deviation9.416181778
Coefficient of variation (CV)0.5161697871
Kurtosis1.839735586
Mean18.24241173
Median Absolute Deviation (MAD)6
Skewness0.5260093894
Sum88348
Variance88.66447927
MonotonicityNot monotonic
2022-11-23T19:36:33.506748image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0281
 
5.8%
16265
 
5.5%
18252
 
5.2%
20245
 
5.1%
15242
 
5.0%
17233
 
4.8%
19231
 
4.8%
21209
 
4.3%
13190
 
3.9%
14184
 
3.8%
Other values (51)2511
51.8%
ValueCountFrequency (%)
0281
5.8%
13
 
0.1%
24
 
0.1%
318
 
0.4%
437
 
0.8%
ValueCountFrequency (%)
991
 
< 0.1%
641
 
< 0.1%
591
 
< 0.1%
573
0.1%
561
 
< 0.1%

VC3
Real number (ℝ≥0)

ZEROS

Distinct97
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.18521578
Minimum0
Maximum99
Zeros133
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:33.655098image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q122
median33
Q344
95-th percentile66
Maximum99
Range99
Interquartile range (IQR)22

Descriptive statistics

Standard deviation17.59193038
Coefficient of variation (CV)0.5146063869
Kurtosis0.6132801359
Mean34.18521578
Median Absolute Deviation (MAD)11
Skewness0.5601825828
Sum165559
Variance309.4760143
MonotonicityNot monotonic
2022-11-23T19:36:33.726514image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0133
 
2.7%
33131
 
2.7%
30125
 
2.6%
31123
 
2.5%
36123
 
2.5%
32123
 
2.5%
35122
 
2.5%
28116
 
2.4%
38113
 
2.3%
27113
 
2.3%
Other values (87)3621
74.8%
ValueCountFrequency (%)
0133
2.7%
12
 
< 0.1%
25
 
0.1%
38
 
0.2%
411
 
0.2%
ValueCountFrequency (%)
9921
0.4%
981
 
< 0.1%
962
 
< 0.1%
942
 
< 0.1%
932
 
< 0.1%

VC4
Real number (ℝ≥0)

ZEROS

Distinct66
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.69770803
Minimum0
Maximum99
Zeros888
Zeros (%)18.3%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:33.799443image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median9
Q315
95-th percentile30
Maximum99
Range99
Interquartile range (IQR)11

Descriptive statistics

Standard deviation9.970023685
Coefficient of variation (CV)0.9319775465
Kurtosis5.954446938
Mean10.69770803
Median Absolute Deviation (MAD)6
Skewness1.7466004
Sum51809
Variance99.40137228
MonotonicityNot monotonic
2022-11-23T19:36:33.869883image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0888
18.3%
8290
 
6.0%
7247
 
5.1%
9241
 
5.0%
6234
 
4.8%
5234
 
4.8%
10218
 
4.5%
11203
 
4.2%
12196
 
4.0%
4183
 
3.8%
Other values (56)1909
39.4%
ValueCountFrequency (%)
0888
18.3%
139
 
0.8%
292
 
1.9%
3162
 
3.3%
4183
 
3.8%
ValueCountFrequency (%)
991
< 0.1%
931
< 0.1%
881
< 0.1%
841
< 0.1%
791
< 0.1%

ANC1
Real number (ℝ≥0)

ZEROS

Distinct30
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7743134421
Minimum0
Maximum66
Zeros2776
Zeros (%)57.3%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:33.933899image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum66
Range66
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.584320457
Coefficient of variation (CV)3.337563726
Kurtosis233.7647084
Mean0.7743134421
Median Absolute Deviation (MAD)0
Skewness13.51684923
Sum3750
Variance6.678712225
MonotonicityNot monotonic
2022-11-23T19:36:33.990308image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
02776
57.3%
11540
31.8%
2336
 
6.9%
372
 
1.5%
530
 
0.6%
427
 
0.6%
610
 
0.2%
98
 
0.2%
76
 
0.1%
86
 
0.1%
Other values (20)32
 
0.7%
ValueCountFrequency (%)
02776
57.3%
11540
31.8%
2336
 
6.9%
372
 
1.5%
427
 
0.6%
ValueCountFrequency (%)
661
< 0.1%
521
< 0.1%
472
< 0.1%
411
< 0.1%
382
< 0.1%

ANC2
Real number (ℝ≥0)

ZEROS

Distinct39
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.664670659
Minimum0
Maximum57
Zeros297
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:34.053220image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median5
Q38
95-th percentile13
Maximum57
Range57
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.315075088
Coefficient of variation (CV)0.7617521562
Kurtosis10.55835665
Mean5.664670659
Median Absolute Deviation (MAD)3
Skewness2.031534784
Sum27434
Variance18.61987302
MonotonicityNot monotonic
2022-11-23T19:36:34.113502image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
5558
11.5%
4541
11.2%
2451
9.3%
6449
9.3%
3445
9.2%
7416
8.6%
1396
8.2%
8325
6.7%
0297
6.1%
9258
 
5.3%
Other values (29)707
14.6%
ValueCountFrequency (%)
0297
6.1%
1396
8.2%
2451
9.3%
3445
9.2%
4541
11.2%
ValueCountFrequency (%)
571
< 0.1%
421
< 0.1%
391
< 0.1%
371
< 0.1%
352
< 0.1%

ANC3
Real number (ℝ≥0)

ZEROS

Distinct17
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8699153417
Minimum0
Maximum31
Zeros2115
Zeros (%)43.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:34.171738image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile3
Maximum31
Range31
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.297222167
Coefficient of variation (CV)1.491205069
Kurtosis87.30590664
Mean0.8699153417
Median Absolute Deviation (MAD)1
Skewness6.185292225
Sum4213
Variance1.68278535
MonotonicityNot monotonic
2022-11-23T19:36:34.223559image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
02115
43.7%
11913
39.5%
2549
 
11.3%
3141
 
2.9%
453
 
1.1%
521
 
0.4%
714
 
0.3%
69
 
0.2%
98
 
0.2%
88
 
0.2%
Other values (7)12
 
0.2%
ValueCountFrequency (%)
02115
43.7%
11913
39.5%
2549
 
11.3%
3141
 
2.9%
453
 
1.1%
ValueCountFrequency (%)
311
 
< 0.1%
191
 
< 0.1%
171
 
< 0.1%
133
0.1%
123
0.1%

ANC4
Real number (ℝ≥0)

ZEROS

Distinct63
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.26223415
Minimum0
Maximum70
Zeros160
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:34.290301image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median9
Q313
95-th percentile26
Maximum70
Range70
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.990842583
Coefficient of variation (CV)0.7786650026
Kurtosis6.820871269
Mean10.26223415
Median Absolute Deviation (MAD)4
Skewness2.101116188
Sum49700
Variance63.85356519
MonotonicityNot monotonic
2022-11-23T19:36:34.361015image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6390
 
8.1%
8388
 
8.0%
7367
 
7.6%
9331
 
6.8%
5326
 
6.7%
10320
 
6.6%
4293
 
6.0%
11257
 
5.3%
12230
 
4.7%
3223
 
4.6%
Other values (53)1718
35.5%
ValueCountFrequency (%)
0160
3.3%
1122
2.5%
2151
3.1%
3223
4.6%
4293
6.0%
ValueCountFrequency (%)
701
< 0.1%
661
< 0.1%
631
< 0.1%
611
< 0.1%
591
< 0.1%

ANC5
Real number (ℝ≥0)

ZEROS

Distinct10
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2054511666
Minimum0
Maximum25
Zeros4200
Zeros (%)86.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:34.422155image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum25
Range25
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7356749942
Coefficient of variation (CV)3.580777886
Kurtosis285.0531734
Mean0.2054511666
Median Absolute Deviation (MAD)0
Skewness11.23545377
Sum995
Variance0.5412176971
MonotonicityNot monotonic
2022-11-23T19:36:34.471195image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
04200
86.7%
1469
 
9.7%
294
 
1.9%
338
 
0.8%
420
 
0.4%
513
 
0.3%
74
 
0.1%
63
 
0.1%
81
 
< 0.1%
251
 
< 0.1%
ValueCountFrequency (%)
04200
86.7%
1469
 
9.7%
294
 
1.9%
338
 
0.8%
420
 
0.4%
ValueCountFrequency (%)
251
 
< 0.1%
81
 
< 0.1%
74
 
0.1%
63
 
0.1%
513
0.3%

ANC6
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1901713814
Minimum0
Maximum7
Zeros4131
Zeros (%)85.3%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:34.518755image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5380699207
Coefficient of variation (CV)2.829394816
Kurtosis29.21790246
Mean0.1901713814
Median Absolute Deviation (MAD)0
Skewness4.33420315
Sum921
Variance0.2895192395
MonotonicityNot monotonic
2022-11-23T19:36:34.565444image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
04131
85.3%
1571
 
11.8%
2103
 
2.1%
320
 
0.4%
413
 
0.3%
63
 
0.1%
72
 
< 0.1%
ValueCountFrequency (%)
04131
85.3%
1571
 
11.8%
2103
 
2.1%
320
 
0.4%
413
 
0.3%
ValueCountFrequency (%)
72
 
< 0.1%
63
 
0.1%
413
 
0.3%
320
 
0.4%
2103
2.1%

ANC7
Real number (ℝ≥0)

ZEROS

Distinct26
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.844930828
Minimum0
Maximum41
Zeros249
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:34.624069image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median4
Q36
95-th percentile11
Maximum41
Range41
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.229886225
Coefficient of variation (CV)0.6666527014
Kurtosis5.965693521
Mean4.844930828
Median Absolute Deviation (MAD)2
Skewness1.452528819
Sum23464
Variance10.43216503
MonotonicityNot monotonic
2022-11-23T19:36:34.755238image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
4715
14.8%
3678
14.0%
5631
13.0%
2531
11.0%
6493
10.2%
7388
8.0%
1336
6.9%
8289
6.0%
0249
 
5.1%
9172
 
3.6%
Other values (16)361
7.5%
ValueCountFrequency (%)
0249
 
5.1%
1336
6.9%
2531
11.0%
3678
14.0%
4715
14.8%
ValueCountFrequency (%)
411
 
< 0.1%
261
 
< 0.1%
244
0.1%
231
 
< 0.1%
222
< 0.1%

ANC8
Real number (ℝ≥0)

ZEROS

Distinct26
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.92566591
Minimum0
Maximum39
Zeros1506
Zeros (%)31.1%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:34.813592image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile6
Maximum39
Range39
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.529186904
Coefficient of variation (CV)1.313408983
Kurtosis29.02596198
Mean1.92566591
Median Absolute Deviation (MAD)1
Skewness3.679585838
Sum9326
Variance6.396786396
MonotonicityNot monotonic
2022-11-23T19:36:34.871649image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
01506
31.1%
11271
26.2%
2774
16.0%
3439
 
9.1%
4289
 
6.0%
5222
 
4.6%
6109
 
2.3%
777
 
1.6%
846
 
0.9%
929
 
0.6%
Other values (16)81
 
1.7%
ValueCountFrequency (%)
01506
31.1%
11271
26.2%
2774
16.0%
3439
 
9.1%
4289
 
6.0%
ValueCountFrequency (%)
391
< 0.1%
351
< 0.1%
321
< 0.1%
291
< 0.1%
231
< 0.1%

ANC9
Real number (ℝ≥0)

ZEROS

Distinct29
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8612430312
Minimum0
Maximum68
Zeros3030
Zeros (%)62.6%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:34.934052image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum68
Range68
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.326807804
Coefficient of variation (CV)2.701685493
Kurtosis207.8508811
Mean0.8612430312
Median Absolute Deviation (MAD)0
Skewness10.68458701
Sum4171
Variance5.414034555
MonotonicityNot monotonic
2022-11-23T19:36:34.990782image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
03030
62.6%
11071
 
22.1%
2319
 
6.6%
3145
 
3.0%
493
 
1.9%
560
 
1.2%
632
 
0.7%
725
 
0.5%
816
 
0.3%
99
 
0.2%
Other values (19)43
 
0.9%
ValueCountFrequency (%)
03030
62.6%
11071
 
22.1%
2319
 
6.6%
3145
 
3.0%
493
 
1.9%
ValueCountFrequency (%)
681
< 0.1%
441
< 0.1%
391
< 0.1%
301
< 0.1%
271
< 0.1%

ANC10
Real number (ℝ≥0)

ZEROS

Distinct33
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.371257485
Minimum0
Maximum44
Zeros2205
Zeros (%)45.5%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:35.054726image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5
Maximum44
Range44
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.738366895
Coefficient of variation (CV)1.996974984
Kurtosis56.40557993
Mean1.371257485
Median Absolute Deviation (MAD)1
Skewness5.984701192
Sum6641
Variance7.498653251
MonotonicityNot monotonic
2022-11-23T19:36:35.114452image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
02205
45.5%
11401
28.9%
2527
 
10.9%
3252
 
5.2%
4145
 
3.0%
590
 
1.9%
645
 
0.9%
735
 
0.7%
833
 
0.7%
928
 
0.6%
Other values (23)82
 
1.7%
ValueCountFrequency (%)
02205
45.5%
11401
28.9%
2527
 
10.9%
3252
 
5.2%
4145
 
3.0%
ValueCountFrequency (%)
441
< 0.1%
421
< 0.1%
401
< 0.1%
321
< 0.1%
312
< 0.1%

ANC11
Real number (ℝ≥0)

ZEROS

Distinct15
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1912037993
Minimum0
Maximum18
Zeros4345
Zeros (%)89.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:35.170642image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum18
Range18
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8611761649
Coefficient of variation (CV)4.503969942
Kurtosis115.9123547
Mean0.1912037993
Median Absolute Deviation (MAD)0
Skewness9.137134506
Sum926
Variance0.741624387
MonotonicityNot monotonic
2022-11-23T19:36:35.219742image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
04345
89.7%
1341
 
7.0%
283
 
1.7%
323
 
0.5%
413
 
0.3%
59
 
0.2%
68
 
0.2%
87
 
0.1%
94
 
0.1%
73
 
0.1%
Other values (5)7
 
0.1%
ValueCountFrequency (%)
04345
89.7%
1341
 
7.0%
283
 
1.7%
323
 
0.5%
413
 
0.3%
ValueCountFrequency (%)
181
 
< 0.1%
141
 
< 0.1%
133
0.1%
111
 
< 0.1%
101
 
< 0.1%

ANC12
Real number (ℝ≥0)

ZEROS

Distinct21
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4216394797
Minimum0
Maximum23
Zeros3910
Zeros (%)80.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:35.274838image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum23
Range23
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.451616213
Coefficient of variation (CV)3.442790067
Kurtosis65.44163079
Mean0.4216394797
Median Absolute Deviation (MAD)0
Skewness7.009983611
Sum2042
Variance2.107189629
MonotonicityNot monotonic
2022-11-23T19:36:35.326934image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
03910
80.7%
1595
 
12.3%
2148
 
3.1%
359
 
1.2%
434
 
0.7%
525
 
0.5%
722
 
0.5%
69
 
0.2%
97
 
0.1%
85
 
0.1%
Other values (11)29
 
0.6%
ValueCountFrequency (%)
03910
80.7%
1595
 
12.3%
2148
 
3.1%
359
 
1.2%
434
 
0.7%
ValueCountFrequency (%)
231
 
< 0.1%
201
 
< 0.1%
182
< 0.1%
173
0.1%
162
< 0.1%

ANC13
Real number (ℝ≥0)

ZEROS

Distinct12
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7563493702
Minimum0
Maximum13
Zeros2292
Zeros (%)47.3%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:35.376191image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum13
Range13
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9528855996
Coefficient of variation (CV)1.259848474
Kurtosis12.698994
Mean0.7563493702
Median Absolute Deviation (MAD)1
Skewness2.32057022
Sum3663
Variance0.9079909659
MonotonicityNot monotonic
2022-11-23T19:36:35.430195image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
02292
47.3%
11799
37.1%
2527
 
10.9%
3152
 
3.1%
444
 
0.9%
515
 
0.3%
67
 
0.1%
73
 
0.1%
91
 
< 0.1%
81
 
< 0.1%
Other values (2)2
 
< 0.1%
ValueCountFrequency (%)
02292
47.3%
11799
37.1%
2527
 
10.9%
3152
 
3.1%
444
 
0.9%
ValueCountFrequency (%)
131
 
< 0.1%
101
 
< 0.1%
91
 
< 0.1%
81
 
< 0.1%
73
0.1%

ANC14
Real number (ℝ≥0)

ZEROS

Distinct15
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7497418955
Minimum0
Maximum16
Zeros2663
Zeros (%)55.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:35.484118image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum16
Range16
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.204998468
Coefficient of variation (CV)1.607217731
Kurtosis25.6701018
Mean0.7497418955
Median Absolute Deviation (MAD)0
Skewness3.634230361
Sum3631
Variance1.452021309
MonotonicityNot monotonic
2022-11-23T19:36:35.536463image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
02663
55.0%
11391
28.7%
2470
 
9.7%
3178
 
3.7%
465
 
1.3%
535
 
0.7%
717
 
0.4%
610
 
0.2%
84
 
0.1%
103
 
0.1%
Other values (5)7
 
0.1%
ValueCountFrequency (%)
02663
55.0%
11391
28.7%
2470
 
9.7%
3178
 
3.7%
465
 
1.3%
ValueCountFrequency (%)
162
< 0.1%
151
 
< 0.1%
141
 
< 0.1%
111
 
< 0.1%
103
0.1%

ANC15
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08445178608
Minimum0
Maximum8
Zeros4524
Zeros (%)93.4%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:35.592011image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3737734228
Coefficient of variation (CV)4.425879429
Kurtosis92.33966331
Mean0.08445178608
Median Absolute Deviation (MAD)0
Skewness7.433381364
Sum409
Variance0.1397065716
MonotonicityNot monotonic
2022-11-23T19:36:35.639157image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
04524
93.4%
1259
 
5.3%
244
 
0.9%
310
 
0.2%
43
 
0.1%
81
 
< 0.1%
71
 
< 0.1%
51
 
< 0.1%
ValueCountFrequency (%)
04524
93.4%
1259
 
5.3%
244
 
0.9%
310
 
0.2%
43
 
0.1%
ValueCountFrequency (%)
81
 
< 0.1%
71
 
< 0.1%
51
 
< 0.1%
43
 
0.1%
310
0.2%

POBC1
Real number (ℝ≥0)

ZEROS

Distinct72
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.868263473
Minimum0
Maximum86
Zeros754
Zeros (%)15.6%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:35.704126image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q39
95-th percentile27
Maximum86
Range86
Interquartile range (IQR)8

Descriptive statistics

Standard deviation9.547809566
Coefficient of variation (CV)1.390134436
Kurtosis11.59818085
Mean6.868263473
Median Absolute Deviation (MAD)3
Skewness2.930802366
Sum33263
Variance91.16066751
MonotonicityNot monotonic
2022-11-23T19:36:35.773645image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0754
15.6%
1735
15.2%
2526
10.9%
3407
 
8.4%
4327
 
6.8%
5264
 
5.5%
6243
 
5.0%
7195
 
4.0%
8154
 
3.2%
9150
 
3.1%
Other values (62)1088
22.5%
ValueCountFrequency (%)
0754
15.6%
1735
15.2%
2526
10.9%
3407
8.4%
4327
6.8%
ValueCountFrequency (%)
861
< 0.1%
792
< 0.1%
732
< 0.1%
721
< 0.1%
711
< 0.1%

POBC2
Real number (ℝ≥0)

Distinct98
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.37848441
Minimum0
Maximum99
Zeros44
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:35.922185image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16
Q141
median57
Q373
95-th percentile86.9
Maximum99
Range99
Interquartile range (IQR)32

Descriptive statistics

Standard deviation21.52465728
Coefficient of variation (CV)0.3886826718
Kurtosis-0.5263875388
Mean55.37848441
Median Absolute Deviation (MAD)16
Skewness-0.3778463801
Sum268198
Variance463.3108711
MonotonicityNot monotonic
2022-11-23T19:36:35.994749image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5096
 
2.0%
5693
 
1.9%
8091
 
1.9%
6288
 
1.8%
5387
 
1.8%
5786
 
1.8%
6486
 
1.8%
5886
 
1.8%
5585
 
1.8%
7985
 
1.8%
Other values (88)3960
81.8%
ValueCountFrequency (%)
044
0.9%
17
 
0.1%
22
 
< 0.1%
34
 
0.1%
48
 
0.2%
ValueCountFrequency (%)
991
 
< 0.1%
965
0.1%
954
 
0.1%
949
0.2%
9312
0.2%

LSC1
Real number (ℝ≥0)

Distinct96
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.92194921
Minimum0
Maximum99
Zeros36
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:36.068936image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile57.1
Q186
median94
Q397
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)11

Descriptive statistics

Standard deviation15.75776001
Coefficient of variation (CV)0.1792244161
Kurtosis11.09648942
Mean87.92194921
Median Absolute Deviation (MAD)4
Skewness-3.03483709
Sum425806
Variance248.3070006
MonotonicityNot monotonic
2022-11-23T19:36:36.139339image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
97479
 
9.9%
98452
 
9.3%
99433
 
8.9%
96387
 
8.0%
95376
 
7.8%
94301
 
6.2%
93252
 
5.2%
92207
 
4.3%
91168
 
3.5%
90156
 
3.2%
Other values (86)1632
33.7%
ValueCountFrequency (%)
036
0.7%
31
 
< 0.1%
42
 
< 0.1%
52
 
< 0.1%
61
 
< 0.1%
ValueCountFrequency (%)
99433
8.9%
98452
9.3%
97479
9.9%
96387
8.0%
95376
7.8%

LSC2
Real number (ℝ≥0)

ZEROS

Distinct89
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.924220524
Minimum0
Maximum99
Zeros946
Zeros (%)19.5%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:36.210930image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q36
95-th percentile26
Maximum99
Range99
Interquartile range (IQR)5

Descriptive statistics

Standard deviation11.55776031
Coefficient of variation (CV)1.950933505
Kurtosis20.89830928
Mean5.924220524
Median Absolute Deviation (MAD)2
Skewness4.145222457
Sum28691
Variance133.5818234
MonotonicityNot monotonic
2022-11-23T19:36:36.284254image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11108
22.9%
0946
19.5%
2701
14.5%
3415
 
8.6%
4255
 
5.3%
5200
 
4.1%
6133
 
2.7%
8118
 
2.4%
7116
 
2.4%
1090
 
1.9%
Other values (79)761
15.7%
ValueCountFrequency (%)
0946
19.5%
11108
22.9%
2701
14.5%
3415
 
8.6%
4255
 
5.3%
ValueCountFrequency (%)
991
< 0.1%
971
< 0.1%
952
< 0.1%
941
< 0.1%
932
< 0.1%

LSC3
Real number (ℝ≥0)

ZEROS

Distinct46
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.913070411
Minimum0
Maximum74
Zeros2815
Zeros (%)58.1%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:36.356444image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile9
Maximum74
Range74
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.75071252
Coefficient of variation (CV)2.483292038
Kurtosis43.9012008
Mean1.913070411
Median Absolute Deviation (MAD)0
Skewness5.500061061
Sum9265
Variance22.56926944
MonotonicityNot monotonic
2022-11-23T19:36:36.424859image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
02815
58.1%
1686
 
14.2%
2382
 
7.9%
3243
 
5.0%
4169
 
3.5%
5103
 
2.1%
671
 
1.5%
760
 
1.2%
847
 
1.0%
1042
 
0.9%
Other values (36)225
 
4.6%
ValueCountFrequency (%)
02815
58.1%
1686
 
14.2%
2382
 
7.9%
3243
 
5.0%
4169
 
3.5%
ValueCountFrequency (%)
741
< 0.1%
621
< 0.1%
611
< 0.1%
511
< 0.1%
491
< 0.1%

LSC4
Real number (ℝ≥0)

ZEROS

Distinct41
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.48502994
Minimum0
Maximum79
Zeros653
Zeros (%)13.5%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:36.497338image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile11
Maximum79
Range79
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.302426831
Coefficient of variation (CV)1.234545156
Kurtosis36.2719643
Mean3.48502994
Median Absolute Deviation (MAD)1
Skewness4.298666896
Sum16878
Variance18.51087664
MonotonicityNot monotonic
2022-11-23T19:36:36.565631image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
11009
20.8%
2922
19.0%
0653
13.5%
3637
13.2%
4459
9.5%
5314
 
6.5%
6202
 
4.2%
7142
 
2.9%
8118
 
2.4%
975
 
1.5%
Other values (31)312
 
6.4%
ValueCountFrequency (%)
0653
13.5%
11009
20.8%
2922
19.0%
3637
13.2%
4459
9.5%
ValueCountFrequency (%)
791
< 0.1%
511
< 0.1%
401
< 0.1%
391
< 0.1%
382
< 0.1%

VOC1
Real number (ℝ≥0)

Distinct68
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.50134214
Minimum0
Maximum99
Zeros35
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:36.641283image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile76
Q191
median96
Q398
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)7

Descriptive statistics

Standard deviation11.42427198
Coefficient of variation (CV)0.1235038511
Kurtosis33.52299634
Mean92.50134214
Median Absolute Deviation (MAD)3
Skewness-5.029115145
Sum447984
Variance130.5139904
MonotonicityNot monotonic
2022-11-23T19:36:36.714290image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
991168
24.1%
98512
10.6%
97449
 
9.3%
96400
 
8.3%
94306
 
6.3%
95302
 
6.2%
93222
 
4.6%
92190
 
3.9%
91179
 
3.7%
90164
 
3.4%
Other values (58)951
19.6%
ValueCountFrequency (%)
035
0.7%
71
 
< 0.1%
121
 
< 0.1%
171
 
< 0.1%
221
 
< 0.1%
ValueCountFrequency (%)
991168
24.1%
98512
10.6%
97449
 
9.3%
96400
 
8.3%
95302
 
6.2%

VOC2
Real number (ℝ≥0)

Distinct100
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.3559777
Minimum0
Maximum99
Zeros39
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:36.788763image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28
Q151
median63
Q374
95-th percentile88
Maximum99
Range99
Interquartile range (IQR)23

Descriptive statistics

Standard deviation18.35340961
Coefficient of variation (CV)0.2991299349
Kurtosis0.5938839066
Mean61.3559777
Median Absolute Deviation (MAD)12
Skewness-0.6957755017
Sum297147
Variance336.8476445
MonotonicityNot monotonic
2022-11-23T19:36:36.859355image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66124
 
2.6%
59120
 
2.5%
57116
 
2.4%
62114
 
2.4%
69112
 
2.3%
72111
 
2.3%
74110
 
2.3%
63107
 
2.2%
77107
 
2.2%
56106
 
2.2%
Other values (90)3716
76.7%
ValueCountFrequency (%)
039
0.8%
11
 
< 0.1%
23
 
0.1%
32
 
< 0.1%
43
 
0.1%
ValueCountFrequency (%)
996
0.1%
984
 
0.1%
977
0.1%
9610
0.2%
957
0.1%

VOC3
Real number (ℝ≥0)

ZEROS

Distinct66
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.26801569
Minimum0
Maximum73
Zeros98
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:37.006589image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q112
median19
Q327
95-th percentile40
Maximum73
Range73
Interquartile range (IQR)15

Descriptive statistics

Standard deviation10.92919758
Coefficient of variation (CV)0.5392337239
Kurtosis0.2356947581
Mean20.26801569
Median Absolute Deviation (MAD)7
Skewness0.5265255335
Sum98158
Variance119.4473597
MonotonicityNot monotonic
2022-11-23T19:36:37.077852image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19202
 
4.2%
15189
 
3.9%
20187
 
3.9%
17187
 
3.9%
18185
 
3.8%
21173
 
3.6%
23166
 
3.4%
13166
 
3.4%
16165
 
3.4%
14163
 
3.4%
Other values (56)3060
63.2%
ValueCountFrequency (%)
098
2.0%
135
 
0.7%
245
0.9%
337
 
0.8%
459
1.2%
ValueCountFrequency (%)
731
< 0.1%
641
< 0.1%
632
< 0.1%
621
< 0.1%
611
< 0.1%

HC1
Real number (ℝ≥0)

Distinct28
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.785876523
Minimum0
Maximum31
Zeros39
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:37.146711image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median6
Q39
95-th percentile14
Maximum31
Range31
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.980927111
Coefficient of variation (CV)0.5866489166
Kurtosis2.084163031
Mean6.785876523
Median Absolute Deviation (MAD)2
Skewness1.197041699
Sum32864
Variance15.84778066
MonotonicityNot monotonic
2022-11-23T19:36:37.204869image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
5787
16.3%
4714
14.7%
3480
9.9%
6374
7.7%
8360
7.4%
7359
7.4%
9325
6.7%
10259
 
5.3%
2225
 
4.6%
11206
 
4.3%
Other values (18)754
15.6%
ValueCountFrequency (%)
039
 
0.8%
1126
 
2.6%
2225
 
4.6%
3480
9.9%
4714
14.7%
ValueCountFrequency (%)
312
 
< 0.1%
292
 
< 0.1%
252
 
< 0.1%
244
0.1%
236
0.1%

HC2
Real number (ℝ≥0)

Distinct53
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.32046252
Minimum0
Maximum52
Zeros35
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:37.273339image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q114
median21
Q332
95-th percentile49
Maximum52
Range52
Interquartile range (IQR)18

Descriptive statistics

Standard deviation12.3646797
Coefficient of variation (CV)0.5302073098
Kurtosis-0.4210538022
Mean23.32046252
Median Absolute Deviation (MAD)8
Skewness0.5369571592
Sum112941
Variance152.885304
MonotonicityNot monotonic
2022-11-23T19:36:37.345350image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16217
 
4.5%
51215
 
4.4%
19206
 
4.3%
17200
 
4.1%
15200
 
4.1%
18199
 
4.1%
14163
 
3.4%
20157
 
3.2%
24132
 
2.7%
25126
 
2.6%
Other values (43)3028
62.5%
ValueCountFrequency (%)
035
0.7%
15
 
0.1%
212
 
0.2%
317
 
0.4%
471
1.5%
ValueCountFrequency (%)
526
 
0.1%
51215
4.4%
5015
 
0.3%
4920
 
0.4%
4832
 
0.7%

HC3
Real number (ℝ≥0)

ZEROS

Distinct60
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.781540368
Minimum0
Maximum99
Zeros2494
Zeros (%)51.5%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:37.418019image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile13
Maximum99
Range99
Interquartile range (IQR)3

Descriptive statistics

Standard deviation6.420885571
Coefficient of variation (CV)2.308392014
Kurtosis53.29878666
Mean2.781540368
Median Absolute Deviation (MAD)0
Skewness5.922632487
Sum13471
Variance41.22777152
MonotonicityNot monotonic
2022-11-23T19:36:37.489907image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02494
51.5%
2495
 
10.2%
1473
 
9.8%
3325
 
6.7%
4227
 
4.7%
5158
 
3.3%
6123
 
2.5%
7103
 
2.1%
861
 
1.3%
1046
 
0.9%
Other values (50)338
 
7.0%
ValueCountFrequency (%)
02494
51.5%
1473
 
9.8%
2495
 
10.2%
3325
 
6.7%
4227
 
4.7%
ValueCountFrequency (%)
991
< 0.1%
981
< 0.1%
811
< 0.1%
791
< 0.1%
782
< 0.1%

HC4
Real number (ℝ≥0)

ZEROS

Distinct97
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.92174272
Minimum0
Maximum99
Zeros1313
Zeros (%)27.1%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:37.563131image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q317
95-th percentile52
Maximum99
Range99
Interquartile range (IQR)17

Descriptive statistics

Standard deviation17.65032409
Coefficient of variation (CV)1.36593991
Kurtosis5.532041968
Mean12.92174272
Median Absolute Deviation (MAD)7
Skewness2.226671174
Sum62580
Variance311.5339406
MonotonicityNot monotonic
2022-11-23T19:36:37.635482image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01313
27.1%
2232
 
4.8%
3201
 
4.2%
4193
 
4.0%
5176
 
3.6%
6167
 
3.4%
8152
 
3.1%
9148
 
3.1%
7139
 
2.9%
1133
 
2.7%
Other values (87)1989
41.1%
ValueCountFrequency (%)
01313
27.1%
1133
 
2.7%
2232
 
4.8%
3201
 
4.2%
4193
 
4.0%
ValueCountFrequency (%)
9911
0.2%
983
 
0.1%
973
 
0.1%
955
0.1%
941
 
< 0.1%

HC5
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.56370019
Minimum0
Maximum99
Zeros900
Zeros (%)18.6%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:37.709025image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median16
Q335
95-th percentile79
Maximum99
Range99
Interquartile range (IQR)32

Descriptive statistics

Standard deviation24.50161253
Coefficient of variation (CV)1.039803271
Kurtosis0.9462881876
Mean23.56370019
Median Absolute Deviation (MAD)14
Skewness1.246910319
Sum114119
Variance600.3290166
MonotonicityNot monotonic
2022-11-23T19:36:37.780570image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0900
 
18.6%
3134
 
2.8%
2119
 
2.5%
4114
 
2.4%
8110
 
2.3%
9109
 
2.3%
5107
 
2.2%
1094
 
1.9%
1194
 
1.9%
1591
 
1.9%
Other values (90)2971
61.3%
ValueCountFrequency (%)
0900
18.6%
159
 
1.2%
2119
 
2.5%
3134
 
2.8%
4114
 
2.4%
ValueCountFrequency (%)
9947
1.0%
9812
 
0.2%
9710
 
0.2%
9610
 
0.2%
959
 
0.2%

HC6
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.52033863
Minimum0
Maximum99
Zeros428
Zeros (%)8.8%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:37.852658image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q117
median48
Q376
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)59

Descriptive statistics

Standard deviation32.44594764
Coefficient of variation (CV)0.6827802278
Kurtosis-1.284936392
Mean47.52033863
Median Absolute Deviation (MAD)29
Skewness0.03892374595
Sum230141
Variance1052.739518
MonotonicityNot monotonic
2022-11-23T19:36:37.923189image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0428
 
8.8%
99257
 
5.3%
371
 
1.5%
864
 
1.3%
462
 
1.3%
5461
 
1.3%
660
 
1.2%
757
 
1.2%
4856
 
1.2%
556
 
1.2%
Other values (90)3671
75.8%
ValueCountFrequency (%)
0428
8.8%
113
 
0.3%
247
 
1.0%
371
 
1.5%
462
 
1.3%
ValueCountFrequency (%)
99257
5.3%
9856
 
1.2%
9745
 
0.9%
9652
 
1.1%
9548
 
1.0%

HC7
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.83729094
Minimum0
Maximum99
Zeros192
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:38.071033image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q139
median72
Q393
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)54

Descriptive statistics

Standard deviation31.48338594
Coefficient of variation (CV)0.4931817357
Kurtosis-0.8992632254
Mean63.83729094
Median Absolute Deviation (MAD)24
Skewness-0.6064223266
Sum309164
Variance991.2035905
MonotonicityNot monotonic
2022-11-23T19:36:38.143232image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99611
 
12.6%
0192
 
4.0%
98144
 
3.0%
97112
 
2.3%
96110
 
2.3%
95108
 
2.2%
9482
 
1.7%
9281
 
1.7%
9073
 
1.5%
8872
 
1.5%
Other values (90)3258
67.3%
ValueCountFrequency (%)
0192
4.0%
13
 
0.1%
224
 
0.5%
333
 
0.7%
425
 
0.5%
ValueCountFrequency (%)
99611
12.6%
98144
 
3.0%
97112
 
2.3%
96110
 
2.3%
95108
 
2.2%

HC8
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.90088788
Minimum0
Maximum99
Zeros538
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:38.216890image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median27
Q359
95-th percentile95
Maximum99
Range99
Interquartile range (IQR)53

Descriptive statistics

Standard deviation31.01183778
Coefficient of variation (CV)0.8885687345
Kurtosis-0.8727453889
Mean34.90088788
Median Absolute Deviation (MAD)23
Skewness0.615487196
Sum169025
Variance961.7340822
MonotonicityNot monotonic
2022-11-23T19:36:38.288897image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0538
 
11.1%
2143
 
3.0%
99140
 
2.9%
1128
 
2.6%
3113
 
2.3%
4110
 
2.3%
5108
 
2.2%
682
 
1.7%
881
 
1.7%
1073
 
1.5%
Other values (90)3327
68.7%
ValueCountFrequency (%)
0538
11.1%
1128
 
2.6%
2143
 
3.0%
3113
 
2.3%
4110
 
2.3%
ValueCountFrequency (%)
99140
2.9%
9824
 
0.5%
9733
 
0.7%
9625
 
0.5%
9529
 
0.6%

HC9
Real number (ℝ≥0)

ZEROS

Distinct68
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.028081767
Minimum0
Maximum88
Zeros3425
Zeros (%)70.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:38.362139image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile18
Maximum88
Range88
Interquartile range (IQR)2

Descriptive statistics

Standard deviation8.141385151
Coefficient of variation (CV)2.688627909
Kurtosis24.0005906
Mean3.028081767
Median Absolute Deviation (MAD)0
Skewness4.344426196
Sum14665
Variance66.28215218
MonotonicityNot monotonic
2022-11-23T19:36:38.431229image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
03425
70.7%
1202
 
4.2%
2169
 
3.5%
3126
 
2.6%
499
 
2.0%
591
 
1.9%
776
 
1.6%
674
 
1.5%
857
 
1.2%
954
 
1.1%
Other values (58)470
 
9.7%
ValueCountFrequency (%)
03425
70.7%
1202
 
4.2%
2169
 
3.5%
3126
 
2.6%
499
 
2.0%
ValueCountFrequency (%)
881
< 0.1%
841
< 0.1%
821
< 0.1%
751
< 0.1%
712
< 0.1%

HC10
Real number (ℝ≥0)

ZEROS

Distinct31
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.424736733
Minimum0
Maximum36
Zeros3429
Zeros (%)70.8%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:38.496695image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum36
Range36
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.478716682
Coefficient of variation (CV)2.441655781
Kurtosis19.95874656
Mean1.424736733
Median Absolute Deviation (MAD)0
Skewness3.908692357
Sum6900
Variance12.10146975
MonotonicityNot monotonic
2022-11-23T19:36:38.556792image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
03429
70.8%
1333
 
6.9%
2260
 
5.4%
3191
 
3.9%
4127
 
2.6%
583
 
1.7%
677
 
1.6%
857
 
1.2%
755
 
1.1%
948
 
1.0%
Other values (21)183
 
3.8%
ValueCountFrequency (%)
03429
70.8%
1333
 
6.9%
2260
 
5.4%
3191
 
3.9%
4127
 
2.6%
ValueCountFrequency (%)
361
< 0.1%
351
< 0.1%
341
< 0.1%
332
< 0.1%
302
< 0.1%

HC11
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.97253768
Minimum0
Maximum99
Zeros519
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:38.628406image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q114
median61
Q386
95-th percentile97
Maximum99
Range99
Interquartile range (IQR)72

Descriptive statistics

Standard deviation36.01856349
Coefficient of variation (CV)0.6930306869
Kurtosis-1.513696312
Mean51.97253768
Median Absolute Deviation (MAD)31
Skewness-0.2446463625
Sum251703
Variance1297.336916
MonotonicityNot monotonic
2022-11-23T19:36:38.700808image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0519
 
10.7%
1182
 
3.8%
99129
 
2.7%
95108
 
2.2%
92104
 
2.1%
94104
 
2.1%
91100
 
2.1%
299
 
2.0%
9693
 
1.9%
9791
 
1.9%
Other values (90)3314
68.4%
ValueCountFrequency (%)
0519
10.7%
1182
 
3.8%
299
 
2.0%
369
 
1.4%
464
 
1.3%
ValueCountFrequency (%)
99129
2.7%
9877
1.6%
9791
1.9%
9693
1.9%
95108
2.2%

HC12
Real number (ℝ≥0)

ZEROS

Distinct73
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.552756556
Minimum0
Maximum82
Zeros1826
Zeros (%)37.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:38.775016image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile35
Maximum82
Range82
Interquartile range (IQR)6

Descriptive statistics

Standard deviation11.86535774
Coefficient of variation (CV)1.810742951
Kurtosis6.57933721
Mean6.552756556
Median Absolute Deviation (MAD)1
Skewness2.532969775
Sum31735
Variance140.7867143
MonotonicityNot monotonic
2022-11-23T19:36:38.842689image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01826
37.7%
1695
 
14.4%
2449
 
9.3%
3257
 
5.3%
4186
 
3.8%
5140
 
2.9%
6108
 
2.2%
773
 
1.5%
866
 
1.4%
962
 
1.3%
Other values (63)981
20.3%
ValueCountFrequency (%)
01826
37.7%
1695
 
14.4%
2449
 
9.3%
3257
 
5.3%
4186
 
3.8%
ValueCountFrequency (%)
821
< 0.1%
801
< 0.1%
761
< 0.1%
721
< 0.1%
711
< 0.1%

HC13
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.20070204
Minimum0
Maximum99
Zeros276
Zeros (%)5.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:38.913529image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17.5
median20
Q346
95-th percentile92.9
Maximum99
Range99
Interquartile range (IQR)38.5

Descriptive statistics

Standard deviation28.30142134
Coefficient of variation (CV)0.9371113723
Kurtosis-0.1391452325
Mean30.20070204
Median Absolute Deviation (MAD)15
Skewness0.9887227923
Sum146262
Variance800.9704497
MonotonicityNot monotonic
2022-11-23T19:36:38.985946image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0276
 
5.7%
5154
 
3.2%
6149
 
3.1%
4147
 
3.0%
3144
 
3.0%
2136
 
2.8%
9135
 
2.8%
8131
 
2.7%
7122
 
2.5%
11114
 
2.4%
Other values (90)3335
68.9%
ValueCountFrequency (%)
0276
5.7%
183
 
1.7%
2136
2.8%
3144
3.0%
4147
3.0%
ValueCountFrequency (%)
9960
1.2%
9826
0.5%
9740
0.8%
9636
0.7%
9523
 
0.5%

HC14
Real number (ℝ≥0)

ZEROS

Distinct64
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.408837497
Minimum0
Maximum88
Zeros2663
Zeros (%)55.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:39.136014image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile24
Maximum88
Range88
Interquartile range (IQR)4

Descriptive statistics

Standard deviation9.224812787
Coefficient of variation (CV)2.092345838
Kurtosis11.23681236
Mean4.408837497
Median Absolute Deviation (MAD)0
Skewness3.089269207
Sum21352
Variance85.09717095
MonotonicityNot monotonic
2022-11-23T19:36:39.204317image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02663
55.0%
1418
 
8.6%
2318
 
6.6%
3196
 
4.0%
4138
 
2.8%
5112
 
2.3%
689
 
1.8%
866
 
1.4%
765
 
1.3%
953
 
1.1%
Other values (54)725
 
15.0%
ValueCountFrequency (%)
02663
55.0%
1418
 
8.6%
2318
 
6.6%
3196
 
4.0%
4138
 
2.8%
ValueCountFrequency (%)
881
< 0.1%
771
< 0.1%
701
< 0.1%
671
< 0.1%
642
< 0.1%

HC15
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct10
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08176749948
Minimum0
Maximum30
Zeros4604
Zeros (%)95.1%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:39.261924image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum30
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5959418161
Coefficient of variation (CV)7.288248018
Kurtosis1335.29766
Mean0.08176749948
Median Absolute Deviation (MAD)0
Skewness29.02419685
Sum396
Variance0.3551466481
MonotonicityNot monotonic
2022-11-23T19:36:39.307857image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
04604
95.1%
1166
 
3.4%
246
 
0.9%
312
 
0.2%
46
 
0.1%
54
 
0.1%
72
 
< 0.1%
81
 
< 0.1%
301
 
< 0.1%
61
 
< 0.1%
ValueCountFrequency (%)
04604
95.1%
1166
 
3.4%
246
 
0.9%
312
 
0.2%
46
 
0.1%
ValueCountFrequency (%)
301
 
< 0.1%
81
 
< 0.1%
72
< 0.1%
61
 
< 0.1%
54
0.1%

HC16
Real number (ℝ≥0)

ZEROS

Distinct75
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.436712781
Minimum0
Maximum85
Zeros2119
Zeros (%)43.8%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:39.371797image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile28
Maximum85
Range85
Interquartile range (IQR)5

Descriptive statistics

Standard deviation10.63412159
Coefficient of variation (CV)1.955983702
Kurtosis11.43353114
Mean5.436712781
Median Absolute Deviation (MAD)1
Skewness3.134684601
Sum26330
Variance113.084542
MonotonicityNot monotonic
2022-11-23T19:36:39.439655image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02119
43.8%
1542
 
11.2%
2392
 
8.1%
3299
 
6.2%
4179
 
3.7%
5139
 
2.9%
6117
 
2.4%
793
 
1.9%
969
 
1.4%
861
 
1.3%
Other values (65)833
 
17.2%
ValueCountFrequency (%)
02119
43.8%
1542
 
11.2%
2392
 
8.1%
3299
 
6.2%
4179
 
3.7%
ValueCountFrequency (%)
851
< 0.1%
821
< 0.1%
791
< 0.1%
752
< 0.1%
721
< 0.1%

HC17
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.26987405
Minimum0
Maximum99
Zeros122
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:39.510807image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q182
median99
Q399
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)17

Descriptive statistics

Standard deviation27.88570626
Coefficient of variation (CV)0.3348834927
Kurtosis2.224225698
Mean83.26987405
Median Absolute Deviation (MAD)0
Skewness-1.858163678
Sum403276
Variance777.6126135
MonotonicityNot monotonic
2022-11-23T19:36:39.582106image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
992541
52.5%
98204
 
4.2%
97123
 
2.5%
0122
 
2.5%
96113
 
2.3%
9581
 
1.7%
9377
 
1.6%
9470
 
1.4%
9257
 
1.2%
9152
 
1.1%
Other values (90)1403
29.0%
ValueCountFrequency (%)
0122
2.5%
124
 
0.5%
218
 
0.4%
316
 
0.3%
412
 
0.2%
ValueCountFrequency (%)
992541
52.5%
98204
 
4.2%
97123
 
2.5%
96113
 
2.3%
9581
 
1.7%

HC18
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.63060087
Minimum0
Maximum99
Zeros2345
Zeros (%)48.4%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:39.654465image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q316
95-th percentile85
Maximum99
Range99
Interquartile range (IQR)16

Descriptive statistics

Standard deviation26.19894238
Coefficient of variation (CV)1.790694902
Kurtosis2.820245099
Mean14.63060087
Median Absolute Deviation (MAD)1
Skewness1.977731084
Sum70856
Variance686.3845818
MonotonicityNot monotonic
2022-11-23T19:36:39.725620image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02345
48.4%
1283
 
5.8%
2193
 
4.0%
3126
 
2.6%
4116
 
2.4%
9979
 
1.6%
577
 
1.6%
776
 
1.6%
675
 
1.5%
855
 
1.1%
Other values (90)1418
29.3%
ValueCountFrequency (%)
02345
48.4%
1283
 
5.8%
2193
 
4.0%
3126
 
2.6%
4116
 
2.4%
ValueCountFrequency (%)
9979
1.6%
9820
 
0.4%
9721
 
0.4%
969
 
0.2%
956
 
0.1%

HC19
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.49101796
Minimum0
Maximum99
Zeros177
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:39.798382image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q147
median95
Q399
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)52

Descriptive statistics

Standard deviation35.33556129
Coefficient of variation (CV)0.4874474422
Kurtosis-0.5915433382
Mean72.49101796
Median Absolute Deviation (MAD)4
Skewness-1.014598992
Sum351074
Variance1248.601892
MonotonicityNot monotonic
2022-11-23T19:36:39.871539image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
991789
36.9%
98269
 
5.6%
0177
 
3.7%
97171
 
3.5%
96115
 
2.4%
9579
 
1.6%
9476
 
1.6%
9171
 
1.5%
9367
 
1.4%
9260
 
1.2%
Other values (90)1969
40.7%
ValueCountFrequency (%)
0177
3.7%
157
 
1.2%
259
 
1.2%
347
 
1.0%
442
 
0.9%
ValueCountFrequency (%)
991789
36.9%
98269
 
5.6%
97171
 
3.5%
96115
 
2.4%
9579
 
1.6%

HC20
Real number (ℝ≥0)

Distinct25
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.80404708
Minimum0
Maximum99
Zeros35
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:39.937411image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile96
Q199
median99
Q399
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.550153814
Coefficient of variation (CV)0.08742126803
Kurtosis121.1341293
Mean97.80404708
Median Absolute Deviation (MAD)0
Skewness-10.89927655
Sum473665
Variance73.10513025
MonotonicityNot monotonic
2022-11-23T19:36:39.993510image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
994048
83.6%
98317
 
6.5%
97167
 
3.4%
9697
 
2.0%
9543
 
0.9%
9441
 
0.8%
035
 
0.7%
9321
 
0.4%
9216
 
0.3%
9112
 
0.2%
Other values (15)46
 
0.9%
ValueCountFrequency (%)
035
0.7%
621
 
< 0.1%
641
 
< 0.1%
702
 
< 0.1%
731
 
< 0.1%
ValueCountFrequency (%)
994048
83.6%
98317
 
6.5%
97167
 
3.4%
9697
 
2.0%
9543
 
0.9%

HC21
Real number (ℝ≥0)

Distinct42
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.05244683
Minimum0
Maximum99
Zeros35
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:40.056269image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile84
Q194
median98
Q399
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)5

Descriptive statistics

Standard deviation9.650187621
Coefficient of variation (CV)0.1015248733
Kurtosis66.22974081
Mean95.05244683
Median Absolute Deviation (MAD)1
Skewness-7.275020247
Sum460339
Variance93.12612113
MonotonicityNot monotonic
2022-11-23T19:36:40.123337image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
992221
45.9%
98514
 
10.6%
97347
 
7.2%
96273
 
5.6%
95242
 
5.0%
94183
 
3.8%
93168
 
3.5%
92127
 
2.6%
91107
 
2.2%
9099
 
2.0%
Other values (32)562
 
11.6%
ValueCountFrequency (%)
035
0.7%
351
 
< 0.1%
571
 
< 0.1%
583
 
0.1%
611
 
< 0.1%
ValueCountFrequency (%)
992221
45.9%
98514
 
10.6%
97347
 
7.2%
96273
 
5.6%
95242
 
5.0%

MHUC1
Real number (ℝ≥0)

ZEROS

Distinct22
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.390666942
Minimum0
Maximum21
Zeros106
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:40.262862image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q16
median8
Q310
95-th percentile16
Maximum21
Range21
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.662238459
Coefficient of variation (CV)0.4364657165
Kurtosis1.908207616
Mean8.390666942
Median Absolute Deviation (MAD)2
Skewness0.9695193317
Sum40636
Variance13.41199053
MonotonicityNot monotonic
2022-11-23T19:36:40.316096image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
9761
15.7%
8718
14.8%
7592
12.2%
6585
12.1%
5498
10.3%
10380
7.8%
11227
 
4.7%
4198
 
4.1%
12179
 
3.7%
0106
 
2.2%
Other values (12)599
12.4%
ValueCountFrequency (%)
0106
2.2%
13
 
0.1%
219
 
0.4%
356
 
1.2%
4198
4.1%
ValueCountFrequency (%)
2113
 
0.3%
20104
2.1%
1923
 
0.5%
1834
 
0.7%
1740
 
0.8%

MHUC2
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.349783192
Minimum0
Maximum5
Zeros179
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:40.365480image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8676892347
Coefficient of variation (CV)0.3692635293
Kurtosis1.333184437
Mean2.349783192
Median Absolute Deviation (MAD)0
Skewness0.07823720774
Sum11380
Variance0.7528846081
MonotonicityNot monotonic
2022-11-23T19:36:40.412251image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
22760
57.0%
31275
26.3%
4398
 
8.2%
0179
 
3.7%
1178
 
3.7%
553
 
1.1%
ValueCountFrequency (%)
0179
 
3.7%
1178
 
3.7%
22760
57.0%
31275
26.3%
4398
 
8.2%
ValueCountFrequency (%)
553
 
1.1%
4398
 
8.2%
31275
26.3%
22760
57.0%
1178
 
3.7%

AC1
Real number (ℝ≥0)

ZEROS

Distinct24
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.913689862
Minimum0
Maximum28
Zeros105
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:40.463543image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median6
Q37
95-th percentile11
Maximum28
Range28
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.829446359
Coefficient of variation (CV)0.4784570083
Kurtosis1.958283478
Mean5.913689862
Median Absolute Deviation (MAD)2
Skewness0.6976984676
Sum28640
Variance8.0057667
MonotonicityNot monotonic
2022-11-23T19:36:40.515199image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
5757
15.6%
6726
15.0%
7682
14.1%
4575
11.9%
8457
9.4%
3448
9.3%
9296
 
6.1%
2254
 
5.2%
10156
 
3.2%
11113
 
2.3%
Other values (14)379
7.8%
ValueCountFrequency (%)
0105
 
2.2%
1102
 
2.1%
2254
5.2%
3448
9.3%
4575
11.9%
ValueCountFrequency (%)
281
< 0.1%
231
< 0.1%
211
< 0.1%
201
< 0.1%
191
< 0.1%

AC2
Real number (ℝ≥0)

ZEROS

Distinct29
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.063596944
Minimum0
Maximum50
Zeros134
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:40.572636image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median6
Q38
95-th percentile12
Maximum50
Range50
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.306472073
Coefficient of variation (CV)0.5452987893
Kurtosis8.905266227
Mean6.063596944
Median Absolute Deviation (MAD)2
Skewness1.380785903
Sum29366
Variance10.93275757
MonotonicityNot monotonic
2022-11-23T19:36:40.633565image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
6717
14.8%
5658
13.6%
4561
11.6%
7539
11.1%
3469
9.7%
8424
8.8%
9314
6.5%
2277
 
5.7%
10196
 
4.0%
11148
 
3.1%
Other values (19)540
11.2%
ValueCountFrequency (%)
0134
 
2.8%
1133
 
2.7%
2277
5.7%
3469
9.7%
4561
11.6%
ValueCountFrequency (%)
501
< 0.1%
311
< 0.1%
301
< 0.1%
281
< 0.1%
251
< 0.1%

ADATE_2
Real number (ℝ≥0)

SKEWED

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9705.998348
Minimum9704
Maximum9706
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:40.686625image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9704
5-th percentile9706
Q19706
median9706
Q39706
95-th percentile9706
Maximum9706
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05746033787
Coefficient of variation (CV)5.920085271 × 10-6
Kurtosis1206.997831
Mean9705.998348
Median Absolute Deviation (MAD)0
Skewness-34.76347769
Sum47006150
Variance0.003301690428
MonotonicityNot monotonic
2022-11-23T19:36:40.733699image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
97064839
99.9%
97044
 
0.1%
ValueCountFrequency (%)
97044
 
0.1%
97064839
99.9%
ValueCountFrequency (%)
97064839
99.9%
97044
 
0.1%

ADATE_3
Real number (ℝ≥0)

MISSING
SKEWED

Distinct2
Distinct (%)< 0.1%
Missing132
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean9605.998726
Minimum9604
Maximum9606
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:40.786430image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9604
5-th percentile9606
Q19606
median9606
Q39606
95-th percentile9606
Maximum9606
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05045937238
Coefficient of variation (CV)5.252902256 × 10-6
Kurtosis1566.997876
Mean9605.998726
Median Absolute Deviation (MAD)0
Skewness-39.60217956
Sum45253860
Variance0.002546148261
MonotonicityNot monotonic
2022-11-23T19:36:40.832789image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
96064708
97.2%
96043
 
0.1%
(Missing)132
 
2.7%
ValueCountFrequency (%)
96043
 
0.1%
96064708
97.2%
ValueCountFrequency (%)
96064708
97.2%
96043
 
0.1%

ADATE_4
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)0.1%
Missing136
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean9604.039091
Minimum9602
Maximum9609
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:40.884678image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9602
5-th percentile9604
Q19604
median9604
Q39604
95-th percentile9604
Maximum9609
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.386998461
Coefficient of variation (CV)4.029538586 × 10-5
Kurtosis116.1642992
Mean9604.039091
Median Absolute Deviation (MAD)0
Skewness10.38376158
Sum45206212
Variance0.1497678088
MonotonicityNot monotonic
2022-11-23T19:36:40.930346image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
96044638
95.8%
960729
 
0.6%
960518
 
0.4%
960917
 
0.4%
96034
 
0.1%
96021
 
< 0.1%
(Missing)136
 
2.8%
ValueCountFrequency (%)
96021
 
< 0.1%
96034
 
0.1%
96044638
95.8%
960518
 
0.4%
960729
 
0.6%
ValueCountFrequency (%)
960917
 
0.4%
960729
 
0.6%
960518
 
0.4%
96044638
95.8%
96034
 
0.1%

ADATE_5
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing1508
Missing (%)31.1%
Infinite0
Infinite (%)0.0%
Mean9604
Minimum9604
Maximum9604
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:40.980391image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9604
5-th percentile9604
Q19604
median9604
Q39604
95-th percentile9604
Maximum9604
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean9604
Median Absolute Deviation (MAD)0
Skewness0
Sum32029340
Variance0
MonotonicityIncreasing
2022-11-23T19:36:41.025177image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
96043335
68.9%
(Missing)1508
31.1%
ValueCountFrequency (%)
96043335
68.9%
ValueCountFrequency (%)
96043335
68.9%

ADATE_6
Real number (ℝ≥0)

MISSING
SKEWED

Distinct2
Distinct (%)< 0.1%
Missing220
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean9602.996972
Minimum9601
Maximum9603
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:41.072494image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9601
5-th percentile9603
Q19603
median9603
Q39603
95-th percentile9603
Maximum9603
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07777410077
Coefficient of variation (CV)8.098940466 × 10-6
Kurtosis656.1408189
Mean9602.996972
Median Absolute Deviation (MAD)0
Skewness-25.64872238
Sum44394655
Variance0.00604881075
MonotonicityNot monotonic
2022-11-23T19:36:41.118939image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
96034616
95.3%
96017
 
0.1%
(Missing)220
 
4.5%
ValueCountFrequency (%)
96017
 
0.1%
96034616
95.3%
ValueCountFrequency (%)
96034616
95.3%
96017
 
0.1%

ADATE_7
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)0.1%
Missing533
Missing (%)11.0%
Infinite0
Infinite (%)0.0%
Mean9601.713457
Minimum9512
Maximum9602
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:41.170449image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9512
5-th percentile9602
Q19602
median9602
Q39602
95-th percentile9602
Maximum9602
Range90
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.744605699
Coefficient of variation (CV)0.0004941415634
Kurtosis353.4813677
Mean9601.713457
Median Absolute Deviation (MAD)0
Skewness-18.83547869
Sum41383385
Variance22.51128324
MonotonicityNot monotonic
2022-11-23T19:36:41.211848image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
96024143
85.5%
9601155
 
3.2%
951212
 
0.2%
(Missing)533
 
11.0%
ValueCountFrequency (%)
951212
 
0.2%
9601155
 
3.2%
96024143
85.5%
ValueCountFrequency (%)
96024143
85.5%
9601155
 
3.2%
951212
 
0.2%

ADATE_8
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)0.1%
Missing137
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean9595.514875
Minimum9511
Maximum9603
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:41.256699image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9511
5-th percentile9512
Q19601
median9601
Q39601
95-th percentile9601
Maximum9603
Range92
Interquartile range (IQR)0

Descriptive statistics

Standard deviation21.41023551
Coefficient of variation (CV)0.002231275319
Kurtosis11.30663752
Mean9595.514875
Median Absolute Deviation (MAD)0
Skewness-3.647150867
Sum45156493
Variance458.3981846
MonotonicityNot monotonic
2022-11-23T19:36:41.302491image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
96014414
91.1%
9512283
 
5.8%
95117
 
0.1%
96032
 
< 0.1%
(Missing)137
 
2.8%
ValueCountFrequency (%)
95117
 
0.1%
9512283
 
5.8%
96014414
91.1%
96032
 
< 0.1%
ValueCountFrequency (%)
96032
 
< 0.1%
96014414
91.1%
9512283
 
5.8%
95117
 
0.1%

ADATE_9
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)0.1%
Missing413
Missing (%)8.5%
Infinite0
Infinite (%)0.0%
Mean9510.925734
Minimum9509
Maximum9511
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:41.350477image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9509
5-th percentile9511
Q19511
median9511
Q39511
95-th percentile9511
Maximum9511
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3670088543
Coefficient of variation (CV)3.858813165 × 10-5
Kurtosis22.35975469
Mean9510.925734
Median Absolute Deviation (MAD)0
Skewness-4.890514462
Sum42133401
Variance0.1346954991
MonotonicityNot monotonic
2022-11-23T19:36:41.402850image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
95114247
87.7%
9509146
 
3.0%
951037
 
0.8%
(Missing)413
 
8.5%
ValueCountFrequency (%)
9509146
 
3.0%
951037
 
0.8%
95114247
87.7%
ValueCountFrequency (%)
95114247
87.7%
951037
 
0.8%
9509146
 
3.0%

ADATE_10
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.1%
Missing1631
Missing (%)33.7%
Infinite0
Infinite (%)0.0%
Mean9510.071295
Minimum9510
Maximum9511
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:41.542036image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9510
5-th percentile9510
Q19510
median9510
Q39510
95-th percentile9511
Maximum9511
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2573572734
Coefficient of variation (CV)2.706155037 × 10-5
Kurtosis9.119025701
Mean9510.071295
Median Absolute Deviation (MAD)0
Skewness3.333668848
Sum30546349
Variance0.06623276618
MonotonicityNot monotonic
2022-11-23T19:36:41.592945image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
95102983
61.6%
9511229
 
4.7%
(Missing)1631
33.7%
ValueCountFrequency (%)
95102983
61.6%
9511229
 
4.7%
ValueCountFrequency (%)
9511229
 
4.7%
95102983
61.6%

ADATE_11
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)0.1%
Missing477
Missing (%)9.8%
Infinite0
Infinite (%)0.0%
Mean9509.805314
Minimum9508
Maximum9511
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:41.643968image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9508
5-th percentile9509
Q19510
median9510
Q39510
95-th percentile9510
Maximum9511
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5089163116
Coefficient of variation (CV)5.351490328 × 10-5
Kurtosis0.2604436759
Mean9509.805314
Median Absolute Deviation (MAD)0
Skewness-0.3364686118
Sum41519810
Variance0.2589958122
MonotonicityNot monotonic
2022-11-23T19:36:41.691810image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
95103088
63.8%
95091055
 
21.8%
9511217
 
4.5%
95086
 
0.1%
(Missing)477
 
9.8%
ValueCountFrequency (%)
95086
 
0.1%
95091055
 
21.8%
95103088
63.8%
9511217
 
4.5%
ValueCountFrequency (%)
9511217
 
4.5%
95103088
63.8%
95091055
 
21.8%
95086
 
0.1%

ADATE_12
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)0.1%
Missing373
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean9508.39821
Minimum9507
Maximum9510
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:41.747906image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9507
5-th percentile9508
Q19508
median9508
Q39509
95-th percentile9509
Maximum9510
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5079774615
Coefficient of variation (CV)5.342408367 × 10-5
Kurtosis-1.154399438
Mean9508.39821
Median Absolute Deviation (MAD)0
Skewness0.5740294965
Sum42502540
Variance0.2580411014
MonotonicityNot monotonic
2022-11-23T19:36:41.794782image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
95082716
56.1%
95091713
35.4%
951036
 
0.7%
95075
 
0.1%
(Missing)373
 
7.7%
ValueCountFrequency (%)
95075
 
0.1%
95082716
56.1%
95091713
35.4%
951036
 
0.7%
ValueCountFrequency (%)
951036
 
0.7%
95091713
35.4%
95082716
56.1%
95075
 
0.1%

ADATE_13
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)0.1%
Missing1926
Missing (%)39.8%
Infinite0
Infinite (%)0.0%
Mean9506.95132
Minimum9502
Maximum9507
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:41.842879image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9502
5-th percentile9507
Q19507
median9507
Q39507
95-th percentile9507
Maximum9507
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4666840894
Coefficient of variation (CV)4.908872189 × 10-5
Kurtosis105.9503097
Mean9506.95132
Median Absolute Deviation (MAD)0
Skewness-10.29405985
Sum27731777
Variance0.2177940393
MonotonicityNot monotonic
2022-11-23T19:36:41.890898image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
95072875
59.4%
950225
 
0.5%
950617
 
0.4%
(Missing)1926
39.8%
ValueCountFrequency (%)
950225
 
0.5%
950617
 
0.4%
95072875
59.4%
ValueCountFrequency (%)
95072875
59.4%
950617
 
0.4%
950225
 
0.5%

ADATE_14
Real number (ℝ≥0)

MISSING
SKEWED

Distinct2
Distinct (%)< 0.1%
Missing746
Missing (%)15.4%
Infinite0
Infinite (%)0.0%
Mean9505.995607
Minimum9504
Maximum9506
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:41.939186image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9504
5-th percentile9506
Q19506
median9506
Q39506
95-th percentile9506
Maximum9506
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0936469717
Coefficient of variation (CV)9.851358614 × 10-6
Kurtosis450.7758291
Mean9505.995607
Median Absolute Deviation (MAD)0
Skewness-21.2733584
Sum38946064
Variance0.008769755309
MonotonicityNot monotonic
2022-11-23T19:36:41.988235image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
95064088
84.4%
95049
 
0.2%
(Missing)746
 
15.4%
ValueCountFrequency (%)
95049
 
0.2%
95064088
84.4%
ValueCountFrequency (%)
95064088
84.4%
95049
 
0.2%

ADATE_15
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.1%
Missing3118
Missing (%)64.4%
Infinite0
Infinite (%)0.0%
Mean9504
Minimum9504
Maximum9504
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:42.042124image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9504
5-th percentile9504
Q19504
median9504
Q39504
95-th percentile9504
Maximum9504
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean9504
Median Absolute Deviation (MAD)0
Skewness0
Sum16394400
Variance0
MonotonicityIncreasing
2022-11-23T19:36:42.086868image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
95041725
35.6%
(Missing)3118
64.4%
ValueCountFrequency (%)
95041725
35.6%
ValueCountFrequency (%)
95041725
35.6%

ADATE_16
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)0.1%
Missing834
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean9503.016214
Minimum9502
Maximum9504
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:42.134565image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9502
5-th percentile9503
Q19503
median9503
Q39503
95-th percentile9503
Maximum9504
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1514617081
Coefficient of variation (CV)1.593827735 × 10-5
Kurtosis39.22190943
Mean9503.016214
Median Absolute Deviation (MAD)0
Skewness4.347223068
Sum38097592
Variance0.02294064901
MonotonicityNot monotonic
2022-11-23T19:36:42.184395image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
95033916
80.9%
950479
 
1.6%
950214
 
0.3%
(Missing)834
 
17.2%
ValueCountFrequency (%)
950214
 
0.3%
95033916
80.9%
950479
 
1.6%
ValueCountFrequency (%)
950479
 
1.6%
95033916
80.9%
950214
 
0.3%

ADATE_17
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.1%
Missing1362
Missing (%)28.1%
Infinite0
Infinite (%)0.0%
Mean9501.922436
Minimum9501
Maximum9502
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:42.239075image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9501
5-th percentile9501
Q19502
median9502
Q39502
95-th percentile9502
Maximum9502
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2675225536
Coefficient of variation (CV)2.815457139 × 10-5
Kurtosis7.989873486
Mean9501.922436
Median Absolute Deviation (MAD)0
Skewness-3.159949881
Sum33076192
Variance0.07156831667
MonotonicityNot monotonic
2022-11-23T19:36:42.287128image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
95023211
66.3%
9501270
 
5.6%
(Missing)1362
28.1%
ValueCountFrequency (%)
9501270
 
5.6%
95023211
66.3%
ValueCountFrequency (%)
95023211
66.3%
9501270
 
5.6%

ADATE_18
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)0.2%
Missing941
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean9464.457714
Minimum9409
Maximum9504
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:42.335535image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9409
5-th percentile9412
Q19412
median9501
Q39501
95-th percentile9501
Maximum9504
Range95
Interquartile range (IQR)89

Descriptive statistics

Standard deviation43.79308776
Coefficient of variation (CV)0.004627110087
Kurtosis-1.868608906
Mean9464.457714
Median Absolute Deviation (MAD)0
Skewness-0.3637743686
Sum36930314
Variance1917.834535
MonotonicityNot monotonic
2022-11-23T19:36:42.380135image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
95012298
47.4%
94121590
32.8%
941111
 
0.2%
95041
 
< 0.1%
95021
 
< 0.1%
94091
 
< 0.1%
(Missing)941
19.4%
ValueCountFrequency (%)
94091
 
< 0.1%
941111
 
0.2%
94121590
32.8%
95012298
47.4%
95021
 
< 0.1%
ValueCountFrequency (%)
95041
 
< 0.1%
95021
 
< 0.1%
95012298
47.4%
94121590
32.8%
941111
 
0.2%

ADATE_19
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)0.1%
Missing1053
Missing (%)21.7%
Infinite0
Infinite (%)0.0%
Mean9410.968338
Minimum9409
Maximum9411
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:42.426163image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9409
5-th percentile9411
Q19411
median9411
Q39411
95-th percentile9411
Maximum9411
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2443343372
Coefficient of variation (CV)2.596272014 × 10-5
Kurtosis58.88312975
Mean9410.968338
Median Absolute Deviation (MAD)0
Skewness-7.755220141
Sum35667570
Variance0.05969926833
MonotonicityNot monotonic
2022-11-23T19:36:42.475292image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
94113725
76.9%
940955
 
1.1%
941010
 
0.2%
(Missing)1053
 
21.7%
ValueCountFrequency (%)
940955
 
1.1%
941010
 
0.2%
94113725
76.9%
ValueCountFrequency (%)
94113725
76.9%
941010
 
0.2%
940955
 
1.1%

ADATE_20
Real number (ℝ≥0)

MISSING
SKEWED

Distinct2
Distinct (%)0.1%
Missing2542
Missing (%)52.5%
Infinite0
Infinite (%)0.0%
Mean9411.000435
Minimum9411
Maximum9412
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:42.529097image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9411
5-th percentile9411
Q19411
median9411
Q39411
95-th percentile9411
Maximum9412
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02084690996
Coefficient of variation (CV)2.215164063 × 10-6
Kurtosis2301
Mean9411.000435
Median Absolute Deviation (MAD)0
Skewness47.96873982
Sum21654712
Variance0.0004345936549
MonotonicityNot monotonic
2022-11-23T19:36:42.575862image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
94112300
47.5%
94121
 
< 0.1%
(Missing)2542
52.5%
ValueCountFrequency (%)
94112300
47.5%
94121
 
< 0.1%
ValueCountFrequency (%)
94121
 
< 0.1%
94112300
47.5%

ADATE_21
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.1%
Missing1781
Missing (%)36.8%
Infinite0
Infinite (%)0.0%
Mean9409.929784
Minimum9409
Maximum9410
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:42.623110image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9409
5-th percentile9409
Q19410
median9410
Q39410
95-th percentile9410
Maximum9410
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2555516595
Coefficient of variation (CV)2.715765849 × 10-5
Kurtosis9.334573059
Mean9409.929784
Median Absolute Deviation (MAD)0
Skewness-3.365780213
Sum28813205
Variance0.06530665068
MonotonicityNot monotonic
2022-11-23T19:36:42.671037image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
94102847
58.8%
9409215
 
4.4%
(Missing)1781
36.8%
ValueCountFrequency (%)
9409215
 
4.4%
94102847
58.8%
ValueCountFrequency (%)
94102847
58.8%
9409215
 
4.4%

ADATE_22
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)0.1%
Missing1148
Missing (%)23.7%
Infinite0
Infinite (%)0.0%
Mean9410.237348
Minimum9408
Maximum9506
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:42.718378image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9408
5-th percentile9408
Q19409
median9409
Q39409
95-th percentile9409
Maximum9506
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.22047164
Coefficient of variation (CV)0.001192368611
Kurtosis68.92925258
Mean9410.237348
Median Absolute Deviation (MAD)0
Skewness8.417236244
Sum34770827
Variance125.8989838
MonotonicityNot monotonic
2022-11-23T19:36:42.762804image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
94093367
69.5%
9408278
 
5.7%
950650
 
1.0%
(Missing)1148
 
23.7%
ValueCountFrequency (%)
9408278
 
5.7%
94093367
69.5%
950650
 
1.0%
ValueCountFrequency (%)
950650
 
1.0%
94093367
69.5%
9408278
 
5.7%

ADATE_23
Real number (ℝ≥0)

MISSING
SKEWED

Distinct3
Distinct (%)0.1%
Missing2665
Missing (%)55.0%
Infinite0
Infinite (%)0.0%
Mean9406.901745
Minimum9312
Maximum9407
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:42.809267image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9312
5-th percentile9407
Q19407
median9407
Q39407
95-th percentile9407
Maximum9407
Range95
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.879686141
Coefficient of variation (CV)0.000306124824
Kurtosis1083.633453
Mean9406.901745
Median Absolute Deviation (MAD)0
Skewness-32.91255705
Sum20488232
Variance8.292592269
MonotonicityNot monotonic
2022-11-23T19:36:42.929682image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
94072152
44.4%
940624
 
0.5%
93122
 
< 0.1%
(Missing)2665
55.0%
ValueCountFrequency (%)
93122
 
< 0.1%
940624
 
0.5%
94072152
44.4%
ValueCountFrequency (%)
94072152
44.4%
940624
 
0.5%
93122
 
< 0.1%

ADATE_24
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.1%
Missing1688
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean9405.993344
Minimum9405
Maximum9406
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:42.974419image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9405
5-th percentile9406
Q19406
median9406
Q39406
95-th percentile9406
Maximum9406
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08132585113
Coefficient of variation (CV)8.646173578 × 10-6
Kurtosis145.4771449
Mean9405.993344
Median Absolute Deviation (MAD)0
Skewness-12.14021933
Sum29675909
Variance0.006613894062
MonotonicityNot monotonic
2022-11-23T19:36:43.022061image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
94063134
64.7%
940521
 
0.4%
(Missing)1688
34.9%
ValueCountFrequency (%)
940521
 
0.4%
94063134
64.7%
ValueCountFrequency (%)
94063134
64.7%
940521
 
0.4%

RFA_2
Categorical

Distinct14
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size38.0 KiB
L1F
1173 
L2F
563 
L3E
523 
L4D
465 
L1G
377 
Other values (9)
1742 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowL3D
2nd rowL3D
3rd rowL3D
4th rowL2F
5th rowL3E

Common Values

ValueCountFrequency (%)
L1F1173
24.2%
L2F563
11.6%
L3E523
10.8%
L4D465
 
9.6%
L1G377
 
7.8%
L4E325
 
6.7%
L2E308
 
6.4%
L1E244
 
5.0%
L3D231
 
4.8%
L2G185
 
3.8%
Other values (4)449
 
9.3%

RFA_3
Categorical

HIGH CARDINALITY
MISSING

Distinct58
Distinct (%)1.2%
Missing132
Missing (%)2.7%
Memory size38.0 KiB
A1F
887 
A2F
310 
A1G
276 
A3E
 
258
S4D
 
258
Other values (53)
2722 

Unique

Unique8 ?
Unique (%)0.2%

Sample

1st rowS2D
2nd rowS3D
3rd rowA2F
4th rowS3E
5th rowA3E

Common Values

ValueCountFrequency (%)
A1F887
18.3%
A2F310
 
6.4%
A1G276
 
5.7%
A3E258
 
5.3%
S4D258
 
5.3%
A1E257
 
5.3%
S2E198
 
4.1%
S3E197
 
4.1%
F1F192
 
4.0%
S3D187
 
3.9%
Other values (48)1691
34.9%

RFA_4
Categorical

HIGH CARDINALITY
MISSING

Distinct56
Distinct (%)1.2%
Missing149
Missing (%)3.1%
Memory size38.0 KiB
A1F
881 
A2F
309 
A1G
 
271
S4D
 
259
A3E
 
258
Other values (51)
2716 

Unique

Unique5 ?
Unique (%)0.1%

Sample

1st rowS2D
2nd rowS3D
3rd rowA2F
4th rowS3E
5th rowA3E

Common Values

ValueCountFrequency (%)
A1F881
18.2%
A2F309
 
6.4%
A1G271
 
5.6%
S4D259
 
5.3%
A3E258
 
5.3%
A1E251
 
5.2%
F1F196
 
4.0%
S2E193
 
4.0%
S3E191
 
3.9%
S3D181
 
3.7%
Other values (46)1704
35.2%

RFA_5
Categorical

MISSING

Distinct35
Distinct (%)1.0%
Missing1508
Missing (%)31.1%
Memory size38.0 KiB
A1F
471 
A2F
304 
A1G
258 
S4D
257 
A3E
219 
Other values (30)
1826 

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st rowA3F
2nd rowS3E
3rd rowA3E
4th rowA2F
5th rowA4E

Common Values

ValueCountFrequency (%)
A1F471
 
9.7%
A2F304
 
6.3%
A1G258
 
5.3%
S4D257
 
5.3%
A3E219
 
4.5%
S2E197
 
4.1%
S3E180
 
3.7%
S4E156
 
3.2%
S2F149
 
3.1%
A4D146
 
3.0%
Other values (25)998
20.6%
(Missing)1508
31.1%

RFA_6
Categorical

HIGH CARDINALITY
MISSING

Distinct91
Distinct (%)2.0%
Missing220
Missing (%)4.5%
Memory size38.0 KiB
A1F
670 
A1E
298 
A2F
 
254
S4D
 
242
F1F
 
227
Other values (86)
2932 

Unique

Unique11 ?
Unique (%)0.2%

Sample

1st rowS2D
2nd rowA4D
3rd rowS2D
4th rowA4F
5th rowS3E

Common Values

ValueCountFrequency (%)
A1F670
 
13.8%
A1E298
 
6.2%
A2F254
 
5.2%
S4D242
 
5.0%
F1F227
 
4.7%
A1G196
 
4.0%
S2E160
 
3.3%
S3E158
 
3.3%
S4E158
 
3.3%
A3E147
 
3.0%
Other values (81)2113
43.6%
(Missing)220
 
4.5%

RFA_7
Categorical

HIGH CARDINALITY
MISSING

Distinct83
Distinct (%)1.9%
Missing533
Missing (%)11.0%
Memory size38.0 KiB
A1F
444 
A1E
344 
A2F
 
252
S4D
 
185
A1G
 
167
Other values (78)
2918 

Unique

Unique9 ?
Unique (%)0.2%

Sample

1st rowS2D
2nd rowS2D
3rd rowA4F
4th rowS3E
5th rowA2C

Common Values

ValueCountFrequency (%)
A1F444
 
9.2%
A1E344
 
7.1%
A2F252
 
5.2%
S4D185
 
3.8%
A1G167
 
3.4%
S4E152
 
3.1%
A2E139
 
2.9%
F1F139
 
2.9%
S2E135
 
2.8%
S2F123
 
2.5%
Other values (73)2230
46.0%
(Missing)533
 
11.0%

RFA_8
Categorical

HIGH CARDINALITY
MISSING

Distinct85
Distinct (%)1.8%
Missing137
Missing (%)2.8%
Memory size38.0 KiB
A1F
463 
A1E
357 
A2F
 
259
S4D
 
239
A1G
 
177
Other values (80)
3211 

Unique

Unique11 ?
Unique (%)0.2%

Sample

1st rowS2D
2nd rowA3D
3rd rowS2D
4th rowA4F
5th rowS3E

Common Values

ValueCountFrequency (%)
A1F463
 
9.6%
A1E357
 
7.4%
A2F259
 
5.3%
S4D239
 
4.9%
A1G177
 
3.7%
S4E176
 
3.6%
S2E156
 
3.2%
A2E149
 
3.1%
F1F145
 
3.0%
S2F136
 
2.8%
Other values (75)2449
50.6%
(Missing)137
 
2.8%

RFA_9
Categorical

HIGH CARDINALITY
MISSING

Distinct88
Distinct (%)2.0%
Missing413
Missing (%)8.5%
Memory size38.0 KiB
A1E
383 
A1F
371 
S4D
 
236
A2F
 
218
S4E
 
172
Other values (83)
3050 

Unique

Unique6 ?
Unique (%)0.1%

Sample

1st rowS2D
2nd rowA4D
3rd rowS2D
4th rowA4F
5th rowS3E

Common Values

ValueCountFrequency (%)
A1E383
 
7.9%
A1F371
 
7.7%
S4D236
 
4.9%
A2F218
 
4.5%
S4E172
 
3.6%
S2E144
 
3.0%
A1G140
 
2.9%
A2E137
 
2.8%
A1D131
 
2.7%
S2F121
 
2.5%
Other values (78)2377
49.1%
(Missing)413
 
8.5%

RFA_10
Categorical

HIGH CARDINALITY
MISSING

Distinct71
Distinct (%)2.2%
Missing1631
Missing (%)33.7%
Memory size38.0 KiB
A1F
356 
A1E
323 
A2F
 
181
A2E
 
145
S4D
 
139
Other values (66)
2068 

Unique

Unique12 ?
Unique (%)0.4%

Sample

1st rowS2D
2nd rowA1D
3rd rowA4F
4th rowA4C
5th rowN1E

Common Values

ValueCountFrequency (%)
A1F356
 
7.4%
A1E323
 
6.7%
A2F181
 
3.7%
A2E145
 
3.0%
S4D139
 
2.9%
S2E127
 
2.6%
A1G124
 
2.6%
A1D112
 
2.3%
S4E112
 
2.3%
S2F96
 
2.0%
Other values (61)1497
30.9%
(Missing)1631
33.7%

RFA_11
Categorical

HIGH CARDINALITY
MISSING

Distinct90
Distinct (%)2.1%
Missing477
Missing (%)9.8%
Memory size38.0 KiB
A1F
385 
A1E
376 
S4D
 
209
A2F
 
195
A2E
 
166
Other values (85)
3035 

Unique

Unique5 ?
Unique (%)0.1%

Sample

1st rowS2D
2nd rowA1D
3rd rowA4F
4th rowS2E
5th rowA4C

Common Values

ValueCountFrequency (%)
A1F385
 
7.9%
A1E376
 
7.8%
S4D209
 
4.3%
A2F195
 
4.0%
A2E166
 
3.4%
S2E148
 
3.1%
S4E148
 
3.1%
A1D138
 
2.8%
A1G135
 
2.8%
S3E115
 
2.4%
Other values (80)2351
48.5%
(Missing)477
 
9.8%

RFA_12
Categorical

HIGH CARDINALITY
MISSING

Distinct94
Distinct (%)2.1%
Missing373
Missing (%)7.7%
Memory size38.0 KiB
A1F
390 
A1E
377 
S4D
 
217
A2F
 
197
A2E
 
169
Other values (89)
3120 

Unique

Unique6 ?
Unique (%)0.1%

Sample

1st rowS2D
2nd rowA1D
3rd rowA4F
4th rowS2E
5th rowA4C

Common Values

ValueCountFrequency (%)
A1F390
 
8.1%
A1E377
 
7.8%
S4D217
 
4.5%
A2F197
 
4.1%
A2E169
 
3.5%
S4E153
 
3.2%
S2E148
 
3.1%
A1D140
 
2.9%
A1G134
 
2.8%
S3E114
 
2.4%
Other values (84)2431
50.2%
(Missing)373
 
7.7%

RFA_13
Categorical

HIGH CARDINALITY
MISSING

Distinct63
Distinct (%)2.2%
Missing1926
Missing (%)39.8%
Memory size38.0 KiB
A1F
393 
S4D
216 
A2E
 
180
S4E
 
155
S2E
 
153
Other values (58)
1820 

Unique

Unique16 ?
Unique (%)0.5%

Sample

1st rowA3F
2nd rowS2E
3rd rowF1E
4th rowA3D
5th rowS2F

Common Values

ValueCountFrequency (%)
A1F393
 
8.1%
S4D216
 
4.5%
A2E180
 
3.7%
S4E155
 
3.2%
S2E153
 
3.2%
A2F149
 
3.1%
A1G122
 
2.5%
S3E108
 
2.2%
S2F98
 
2.0%
S3D96
 
2.0%
Other values (53)1247
25.7%
(Missing)1926
39.8%

RFA_14
Categorical

HIGH CARDINALITY
MISSING

Distinct84
Distinct (%)2.1%
Missing746
Missing (%)15.4%
Memory size38.0 KiB
A1E
412 
A1F
353 
A1D
 
219
S4D
 
167
A2E
 
164
Other values (79)
2782 

Unique

Unique10 ?
Unique (%)0.2%

Sample

1st rowS2D
2nd rowS2D
3rd rowA4F
4th rowS2E
5th rowA3C

Common Values

ValueCountFrequency (%)
A1E412
 
8.5%
A1F353
 
7.3%
A1D219
 
4.5%
S4D167
 
3.4%
A2E164
 
3.4%
S2E151
 
3.1%
A1G135
 
2.8%
A2F130
 
2.7%
S4E118
 
2.4%
S3D110
 
2.3%
Other values (74)2138
44.1%
(Missing)746
 
15.4%

RFA_15
Categorical

MISSING

Distinct31
Distinct (%)1.8%
Missing3118
Missing (%)64.4%
Memory size38.0 KiB
S4D
180 
A2F
147 
S4E
130 
A1G
127 
S3E
111 
Other values (26)
1030 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowS3D
2nd rowS3D
3rd rowA4F
4th rowA3D
5th rowS2F

Common Values

ValueCountFrequency (%)
S4D180
 
3.7%
A2F147
 
3.0%
S4E130
 
2.7%
A1G127
 
2.6%
S3E111
 
2.3%
S3D106
 
2.2%
A3E93
 
1.9%
S2F85
 
1.8%
A4D72
 
1.5%
S4F71
 
1.5%
Other values (21)603
 
12.5%
(Missing)3118
64.4%

RFA_16
Categorical

HIGH CARDINALITY
MISSING

Distinct104
Distinct (%)2.6%
Missing839
Missing (%)17.3%
Memory size38.0 KiB
A1E
367 
A1F
294 
A1D
 
225
S4D
 
193
A2E
 
155
Other values (99)
2770 

Unique

Unique13 ?
Unique (%)0.3%

Sample

1st rowS2D
2nd rowA2D
3rd rowS4D
4th rowA2E
5th rowS3E

Common Values

ValueCountFrequency (%)
A1E367
 
7.6%
A1F294
 
6.1%
A1D225
 
4.6%
S4D193
 
4.0%
A2E155
 
3.2%
S4E152
 
3.1%
S2E140
 
2.9%
A2F122
 
2.5%
S3E106
 
2.2%
A1G103
 
2.1%
Other values (94)2147
44.3%
(Missing)839
 
17.3%

RFA_17
Categorical

HIGH CARDINALITY
MISSING

Distinct102
Distinct (%)2.9%
Missing1362
Missing (%)28.1%
Memory size38.0 KiB
A1E
343 
A1F
 
227
A1D
 
191
S4D
 
147
A2E
 
141
Other values (97)
2432 

Unique

Unique5 ?
Unique (%)0.1%

Sample

1st rowA1D
2nd rowS4D
3rd rowA1E
4th rowS3E
5th rowN3C

Common Values

ValueCountFrequency (%)
A1E343
 
7.1%
A1F227
 
4.7%
A1D191
 
3.9%
S4D147
 
3.0%
A2E141
 
2.9%
S2E122
 
2.5%
S4E115
 
2.4%
A2F98
 
2.0%
P1D92
 
1.9%
S2D84
 
1.7%
Other values (92)1921
39.7%
(Missing)1362
28.1%

RFA_18
Categorical

HIGH CARDINALITY
MISSING

Distinct108
Distinct (%)2.8%
Missing941
Missing (%)19.4%
Memory size38.0 KiB
A1E
363 
A1F
 
236
A1D
 
216
S4D
 
185
A2E
 
157
Other values (103)
2745 

Unique

Unique6 ?
Unique (%)0.2%

Sample

1st rowA1D
2nd rowA2D
3rd rowS4D
4th rowA1E
5th rowS3E

Common Values

ValueCountFrequency (%)
A1E363
 
7.5%
A1F236
 
4.9%
A1D216
 
4.5%
S4D185
 
3.8%
A2E157
 
3.2%
S4E140
 
2.9%
S2E133
 
2.7%
A2F103
 
2.1%
P1D96
 
2.0%
S2D94
 
1.9%
Other values (98)2179
45.0%
(Missing)941
19.4%

RFA_19
Categorical

HIGH CARDINALITY
MISSING

Distinct96
Distinct (%)2.5%
Missing1054
Missing (%)21.8%
Memory size38.0 KiB
A1E
362 
A1D
262 
A1F
 
223
S4D
 
172
S2E
 
158
Other values (91)
2612 

Unique

Unique9 ?
Unique (%)0.2%

Sample

1st rowA1D
2nd rowA2D
3rd rowS4D
4th rowA3E
5th rowA3E

Common Values

ValueCountFrequency (%)
A1E362
 
7.5%
A1D262
 
5.4%
A1F223
 
4.6%
S4D172
 
3.6%
S2E158
 
3.3%
A2E135
 
2.8%
S4E131
 
2.7%
S2D106
 
2.2%
S3D103
 
2.1%
S3E92
 
1.9%
Other values (86)2045
42.2%
(Missing)1054
21.8%

RFA_20
Categorical

HIGH CARDINALITY
MISSING

Distinct67
Distinct (%)2.9%
Missing2542
Missing (%)52.5%
Memory size38.0 KiB
A1E
311 
A1F
199 
A1D
191 
A2E
 
123
S2E
 
98
Other values (62)
1379 

Unique

Unique5 ?
Unique (%)0.2%

Sample

1st rowA1D
2nd rowS4D
3rd rowA3E
4th rowA2E
5th rowA3E

Common Values

ValueCountFrequency (%)
A1E311
 
6.4%
A1F199
 
4.1%
A1D191
 
3.9%
A2E123
 
2.5%
S2E98
 
2.0%
A1G83
 
1.7%
S2D81
 
1.7%
S4E80
 
1.7%
A2F75
 
1.5%
S4D74
 
1.5%
Other values (57)986
 
20.4%
(Missing)2542
52.5%

RFA_21
Categorical

HIGH CARDINALITY
MISSING

Distinct91
Distinct (%)3.0%
Missing1781
Missing (%)36.8%
Memory size38.0 KiB
A1E
329 
A1D
210 
A1F
 
205
A2E
 
124
S2E
 
102
Other values (86)
2092 

Unique

Unique9 ?
Unique (%)0.3%

Sample

1st rowA1D
2nd rowS4D
3rd rowA3E
4th rowF1C
5th rowN2D

Common Values

ValueCountFrequency (%)
A1E329
 
6.8%
A1D210
 
4.3%
A1F205
 
4.2%
A2E124
 
2.6%
S2E102
 
2.1%
S4D95
 
2.0%
S2D88
 
1.8%
A1G88
 
1.8%
S4E88
 
1.8%
A2F78
 
1.6%
Other values (81)1655
34.2%
(Missing)1781
36.8%

RFA_22
Categorical

HIGH CARDINALITY
MISSING

Distinct101
Distinct (%)2.7%
Missing1148
Missing (%)23.7%
Memory size38.0 KiB
A1E
351 
A1D
 
253
A1F
 
218
S4D
 
157
A2E
 
141
Other values (96)
2575 

Unique

Unique7 ?
Unique (%)0.2%

Sample

1st rowA1D
2nd rowS4D
3rd rowA3E
4th rowA3E
5th rowF1C

Common Values

ValueCountFrequency (%)
A1E351
 
7.2%
A1D253
 
5.2%
A1F218
 
4.5%
S4D157
 
3.2%
A2E141
 
2.9%
S2E125
 
2.6%
S2D113
 
2.3%
S4E112
 
2.3%
A1G95
 
2.0%
S3D90
 
1.9%
Other values (91)2040
42.1%
(Missing)1148
23.7%

RFA_23
Categorical

HIGH CARDINALITY
MISSING

Distinct57
Distinct (%)2.6%
Missing2665
Missing (%)55.0%
Memory size38.0 KiB
A1E
212 
A1F
210 
S4D
156 
A2E
140 
S2E
138 
Other values (52)
1322 

Unique

Unique10 ?
Unique (%)0.5%

Sample

1st rowS4D
2nd rowA2E
3rd rowA3E
4th rowA1F
5th rowA2E

Common Values

ValueCountFrequency (%)
A1E212
 
4.4%
A1F210
 
4.3%
S4D156
 
3.2%
A2E140
 
2.9%
S2E138
 
2.8%
S4E114
 
2.4%
S2D104
 
2.1%
S3E100
 
2.1%
A1G99
 
2.0%
S3D89
 
1.8%
Other values (47)816
 
16.8%
(Missing)2665
55.0%

RFA_24
Categorical

HIGH CARDINALITY
MISSING

Distinct77
Distinct (%)2.4%
Missing1688
Missing (%)34.9%
Memory size38.0 KiB
A1E
355 
A1D
286 
A1F
221 
F1D
 
150
A2E
 
146
Other values (72)
1997 

Unique

Unique9 ?
Unique (%)0.3%

Sample

1st rowS4D
2nd rowA2E
3rd rowA3E
4th rowF1C
5th rowF1D

Common Values

ValueCountFrequency (%)
A1E355
 
7.3%
A1D286
 
5.9%
A1F221
 
4.6%
F1D150
 
3.1%
A2E146
 
3.0%
S4D137
 
2.8%
S2E131
 
2.7%
A2D115
 
2.4%
S2D104
 
2.1%
S3E89
 
1.8%
Other values (67)1421
29.3%
(Missing)1688
34.9%

CARDPROM
Real number (ℝ≥0)

Distinct48
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.6403056
Minimum2
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:43.094618image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile6
Q113
median20
Q327
95-th percentile33
Maximum51
Range49
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.527107834
Coefficient of variation (CV)0.4341637045
Kurtosis-0.7658796551
Mean19.6403056
Median Absolute Deviation (MAD)7
Skewness0.09823658105
Sum95118
Variance72.71156802
MonotonicityNot monotonic
2022-11-23T19:36:43.167808image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
15211
 
4.4%
23211
 
4.4%
20195
 
4.0%
25187
 
3.9%
17183
 
3.8%
22179
 
3.7%
9179
 
3.7%
10178
 
3.7%
27174
 
3.6%
13172
 
3.6%
Other values (38)2974
61.4%
ValueCountFrequency (%)
22
 
< 0.1%
39
 
0.2%
424
 
0.5%
5141
2.9%
6157
3.2%
ValueCountFrequency (%)
512
 
< 0.1%
501
 
< 0.1%
471
 
< 0.1%
462
 
< 0.1%
457
0.1%

MAXADATE
Real number (ℝ≥0)

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9701.459426
Minimum9608
Maximum9702
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:43.226381image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9608
5-th percentile9702
Q19702
median9702
Q39702
95-th percentile9702
Maximum9702
Range94
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.965792045
Coefficient of variation (CV)0.0007180148614
Kurtosis162.2268083
Mean9701.459426
Median Absolute Deviation (MAD)0
Skewness-12.81195675
Sum46984168
Variance48.52225882
MonotonicityNot monotonic
2022-11-23T19:36:43.270327image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
97024814
99.4%
961224
 
0.5%
96114
 
0.1%
96081
 
< 0.1%
ValueCountFrequency (%)
96081
 
< 0.1%
96114
 
0.1%
961224
 
0.5%
97024814
99.4%
ValueCountFrequency (%)
97024814
99.4%
961224
 
0.5%
96114
 
0.1%
96081
 
< 0.1%

NUMPROM
Real number (ℝ≥0)

Distinct139
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.26739624
Minimum5
Maximum174
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:43.330348image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile15
Q132
median51
Q366
95-th percentile86
Maximum174
Range169
Interquartile range (IQR)34

Descriptive statistics

Standard deviation23.19780396
Coefficient of variation (CV)0.4614880757
Kurtosis0.402570887
Mean50.26739624
Median Absolute Deviation (MAD)17
Skewness0.4762327112
Sum243445
Variance538.1381086
MonotonicityNot monotonic
2022-11-23T19:36:43.401268image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
58103
 
2.1%
6398
 
2.0%
1396
 
2.0%
5789
 
1.8%
6689
 
1.8%
2488
 
1.8%
6286
 
1.8%
5585
 
1.8%
2580
 
1.7%
5479
 
1.6%
Other values (129)3950
81.6%
ValueCountFrequency (%)
51
 
< 0.1%
62
 
< 0.1%
73
 
0.1%
81
 
< 0.1%
910
0.2%
ValueCountFrequency (%)
1741
< 0.1%
1571
< 0.1%
1471
< 0.1%
1441
< 0.1%
1411
< 0.1%

CARDPM12
Real number (ℝ≥0)

Distinct17
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.452405534
Minimum0
Maximum17
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:43.466022image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q15
median6
Q36
95-th percentile7
Maximum17
Range17
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.432335859
Coefficient of variation (CV)0.2626979688
Kurtosis6.309969708
Mean5.452405534
Median Absolute Deviation (MAD)0
Skewness0.9105399998
Sum26406
Variance2.051586013
MonotonicityNot monotonic
2022-11-23T19:36:43.516913image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
62594
53.6%
5834
 
17.2%
4786
 
16.2%
3188
 
3.9%
7112
 
2.3%
2107
 
2.2%
864
 
1.3%
1156
 
1.2%
938
 
0.8%
1025
 
0.5%
Other values (7)39
 
0.8%
ValueCountFrequency (%)
01
 
< 0.1%
121
 
0.4%
2107
 
2.2%
3188
 
3.9%
4786
16.2%
ValueCountFrequency (%)
172
 
< 0.1%
151
 
< 0.1%
141
 
< 0.1%
136
0.1%
127
0.1%

NUMPRM12
Real number (ℝ≥0)

Distinct49
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.22320875
Minimum2
Maximum59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:43.583123image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile7
Q111
median13
Q314
95-th percentile25
Maximum59
Range57
Interquartile range (IQR)3

Descriptive statistics

Standard deviation5.288803245
Coefficient of variation (CV)0.3999636808
Kurtosis11.13975046
Mean13.22320875
Median Absolute Deviation (MAD)1
Skewness2.782786804
Sum64040
Variance27.97143976
MonotonicityNot monotonic
2022-11-23T19:36:43.651588image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
131191
24.6%
12868
17.9%
14540
11.2%
11445
 
9.2%
10433
 
8.9%
15205
 
4.2%
9182
 
3.8%
8152
 
3.1%
7147
 
3.0%
1678
 
1.6%
Other values (39)602
12.4%
ValueCountFrequency (%)
24
 
0.1%
32
 
< 0.1%
426
 
0.5%
527
 
0.6%
668
1.4%
ValueCountFrequency (%)
591
< 0.1%
581
< 0.1%
491
< 0.1%
482
< 0.1%
471
< 0.1%

RDATE_3
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)12.2%
Missing4802
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean9611.341463
Minimum9605
Maximum9803
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:43.711351image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9605
5-th percentile9606
Q19606
median9607
Q39607
95-th percentile9607
Maximum9803
Range198
Interquartile range (IQR)1

Descriptive statistics

Standard deviation30.68599824
Coefficient of variation (CV)0.003192686302
Kurtosis40.96741828
Mean9611.341463
Median Absolute Deviation (MAD)0
Skewness6.399396861
Sum394065
Variance941.6304878
MonotonicityNot monotonic
2022-11-23T19:36:43.760212image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
960721
 
0.4%
960617
 
0.4%
96081
 
< 0.1%
96051
 
< 0.1%
98031
 
< 0.1%
(Missing)4802
99.2%
ValueCountFrequency (%)
96051
 
< 0.1%
960617
0.4%
960721
0.4%
96081
 
< 0.1%
98031
 
< 0.1%
ValueCountFrequency (%)
98031
 
< 0.1%
96081
 
< 0.1%
960721
0.4%
960617
0.4%
96051
 
< 0.1%

RDATE_4
Real number (ℝ≥0)

MISSING

Distinct12
Distinct (%)41.4%
Missing4814
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean9609.827586
Minimum9512
Maximum9704
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:43.815358image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9512
5-th percentile9603.4
Q19605
median9606
Q39609
95-th percentile9666.6
Maximum9704
Range192
Interquartile range (IQR)4

Descriptive statistics

Standard deviation31.36315965
Coefficient of variation (CV)0.003263654771
Kurtosis7.88505787
Mean9609.827586
Median Absolute Deviation (MAD)1
Skewness0.8775378696
Sum278685
Variance983.6477833
MonotonicityNot monotonic
2022-11-23T19:36:43.865552image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
960511
 
0.2%
96094
 
0.1%
96064
 
0.1%
96072
 
< 0.1%
97041
 
< 0.1%
96041
 
< 0.1%
95121
 
< 0.1%
96031
 
< 0.1%
97031
 
< 0.1%
96121
 
< 0.1%
Other values (2)2
 
< 0.1%
(Missing)4814
99.4%
ValueCountFrequency (%)
95121
 
< 0.1%
96031
 
< 0.1%
96041
 
< 0.1%
960511
0.2%
96064
 
0.1%
ValueCountFrequency (%)
97041
 
< 0.1%
97031
 
< 0.1%
96121
 
< 0.1%
96101
 
< 0.1%
96094
0.1%

RDATE_5
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)100.0%
Missing4841
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean9653.5
Minimum9604
Maximum9703
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:43.918117image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9604
5-th percentile9608.95
Q19628.75
median9653.5
Q39678.25
95-th percentile9698.05
Maximum9703
Range99
Interquartile range (IQR)49.5

Descriptive statistics

Standard deviation70.00357134
Coefficient of variation (CV)0.007251625974
Kurtosisnan
Mean9653.5
Median Absolute Deviation (MAD)49.5
Skewnessnan
Sum19307
Variance4900.5
MonotonicityStrictly increasing
2022-11-23T19:36:43.963293image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
96041
 
< 0.1%
97031
 
< 0.1%
(Missing)4841
> 99.9%
ValueCountFrequency (%)
96041
< 0.1%
97031
< 0.1%
ValueCountFrequency (%)
97031
< 0.1%
96041
< 0.1%

RDATE_6
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)10.6%
Missing4777
Missing (%)98.6%
Infinite0
Infinite (%)0.0%
Mean9589.409091
Minimum9511
Maximum9703
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:44.010060image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9511
5-th percentile9511
Q19603
median9603
Q39603
95-th percentile9604
Maximum9703
Range192
Interquartile range (IQR)0

Descriptive statistics

Standard deviation37.21289159
Coefficient of variation (CV)0.003880624055
Kurtosis1.913459974
Mean9589.409091
Median Absolute Deviation (MAD)0
Skewness-1.109647056
Sum632901
Variance1384.799301
MonotonicityNot monotonic
2022-11-23T19:36:44.133762image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
960343
 
0.9%
96049
 
0.2%
95116
 
0.1%
95125
 
0.1%
97031
 
< 0.1%
96051
 
< 0.1%
96021
 
< 0.1%
(Missing)4777
98.6%
ValueCountFrequency (%)
95116
 
0.1%
95125
 
0.1%
96021
 
< 0.1%
960343
0.9%
96049
 
0.2%
ValueCountFrequency (%)
97031
 
< 0.1%
96051
 
< 0.1%
96049
 
0.2%
960343
0.9%
96021
 
< 0.1%

RDATE_7
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)1.0%
Missing4366
Missing (%)90.2%
Infinite0
Infinite (%)0.0%
Mean9602.794549
Minimum9601
Maximum9610
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:44.184616image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9601
5-th percentile9602
Q19603
median9603
Q39603
95-th percentile9603
Maximum9610
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6181189751
Coefficient of variation (CV)6.43686556 × 10-5
Kurtosis58.94946025
Mean9602.794549
Median Absolute Deviation (MAD)0
Skewness4.879520254
Sum4580533
Variance0.3820710674
MonotonicityNot monotonic
2022-11-23T19:36:44.229699image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
9603367
 
7.6%
9602105
 
2.2%
96013
 
0.1%
96101
 
< 0.1%
96091
 
< 0.1%
(Missing)4366
90.2%
ValueCountFrequency (%)
96013
 
0.1%
9602105
 
2.2%
9603367
7.6%
96091
 
< 0.1%
96101
 
< 0.1%
ValueCountFrequency (%)
96101
 
< 0.1%
96091
 
< 0.1%
9603367
7.6%
9602105
 
2.2%
96013
 
0.1%

RDATE_8
Real number (ℝ≥0)

MISSING
SKEWED

Distinct5
Distinct (%)0.4%
Missing3443
Missing (%)71.1%
Infinite0
Infinite (%)0.0%
Mean9601.746429
Minimum9601
Maximum9805
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:44.277583image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9601
5-th percentile9601
Q19601
median9602
Q39602
95-th percentile9603
Maximum9805
Range204
Interquartile range (IQR)1

Descriptive statistics

Standard deviation5.475592875
Coefficient of variation (CV)0.0005702705144
Kurtosis1359.92351
Mean9601.746429
Median Absolute Deviation (MAD)1
Skewness36.61292026
Sum13442445
Variance29.98211733
MonotonicityNot monotonic
2022-11-23T19:36:44.325858image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
9601677
 
14.0%
9602608
 
12.6%
9603113
 
2.3%
96081
 
< 0.1%
98051
 
< 0.1%
(Missing)3443
71.1%
ValueCountFrequency (%)
9601677
14.0%
9602608
12.6%
9603113
 
2.3%
96081
 
< 0.1%
98051
 
< 0.1%
ValueCountFrequency (%)
98051
 
< 0.1%
96081
 
< 0.1%
9603113
 
2.3%
9602608
12.6%
9601677
14.0%

RDATE_9
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)0.8%
Missing3788
Missing (%)78.2%
Infinite0
Infinite (%)0.0%
Mean9524.82654
Minimum9509
Maximum9604
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:44.378607image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9509
5-th percentile9512
Q19512
median9512
Q39512
95-th percentile9601
Maximum9604
Range95
Interquartile range (IQR)0

Descriptive statistics

Standard deviation31.45372881
Coefficient of variation (CV)0.003302288884
Kurtosis2.125849245
Mean9524.82654
Median Absolute Deviation (MAD)0
Skewness2.029831411
Sum10048692
Variance989.3370559
MonotonicityNot monotonic
2022-11-23T19:36:44.424181image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
9512865
 
17.9%
9601105
 
2.2%
960227
 
0.6%
951020
 
0.4%
960319
 
0.4%
951115
 
0.3%
95093
 
0.1%
96041
 
< 0.1%
(Missing)3788
78.2%
ValueCountFrequency (%)
95093
 
0.1%
951020
 
0.4%
951115
 
0.3%
9512865
17.9%
9601105
 
2.2%
ValueCountFrequency (%)
96041
 
< 0.1%
960319
 
0.4%
960227
 
0.6%
9601105
 
2.2%
9512865
17.9%

RDATE_10
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)1.1%
Missing4313
Missing (%)89.1%
Infinite0
Infinite (%)0.0%
Mean9518.9
Minimum9510
Maximum9603
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:44.469831image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9510
5-th percentile9511
Q19511
median9511
Q39512
95-th percentile9601
Maximum9603
Range93
Interquartile range (IQR)1

Descriptive statistics

Standard deviation24.88239636
Coefficient of variation (CV)0.002613999134
Kurtosis7.210848016
Mean9518.9
Median Absolute Deviation (MAD)0
Skewness3.029512659
Sum5045017
Variance619.1336484
MonotonicityNot monotonic
2022-11-23T19:36:44.514895image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
9511279
 
5.8%
9512206
 
4.3%
960127
 
0.6%
960212
 
0.2%
96035
 
0.1%
95101
 
< 0.1%
(Missing)4313
89.1%
ValueCountFrequency (%)
95101
 
< 0.1%
9511279
5.8%
9512206
4.3%
960127
 
0.6%
960212
 
0.2%
ValueCountFrequency (%)
96035
 
0.1%
960212
 
0.2%
960127
 
0.6%
9512206
4.3%
9511279
5.8%

RDATE_11
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)0.8%
Missing4001
Missing (%)82.6%
Infinite0
Infinite (%)0.0%
Mean9516.085511
Minimum9509
Maximum9603
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:44.561143image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9509
5-th percentile9510
Q19510
median9511
Q39511
95-th percentile9601
Maximum9603
Range94
Interquartile range (IQR)1

Descriptive statistics

Standard deviation21.22787981
Coefficient of variation (CV)0.002230736555
Kurtosis12.29964637
Mean9516.085511
Median Absolute Deviation (MAD)1
Skewness3.775100432
Sum8012544
Variance450.6228814
MonotonicityNot monotonic
2022-11-23T19:36:44.608786image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
9511407
 
8.4%
9510259
 
5.3%
9512122
 
2.5%
960135
 
0.7%
96029
 
0.2%
95095
 
0.1%
96035
 
0.1%
(Missing)4001
82.6%
ValueCountFrequency (%)
95095
 
0.1%
9510259
5.3%
9511407
8.4%
9512122
 
2.5%
960135
 
0.7%
ValueCountFrequency (%)
96035
 
0.1%
96029
 
0.2%
960135
 
0.7%
9512122
 
2.5%
9511407
8.4%

RDATE_12
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)0.5%
Missing3320
Missing (%)68.6%
Infinite0
Infinite (%)0.0%
Mean9512.897571
Minimum9509
Maximum9603
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:44.657225image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9509
5-th percentile9509
Q19509
median9509
Q39510
95-th percentile9512
Maximum9603
Range94
Interquartile range (IQR)1

Descriptive statistics

Standard deviation16.83291198
Coefficient of variation (CV)0.001769483152
Kurtosis23.69317247
Mean9512.897571
Median Absolute Deviation (MAD)0
Skewness5.056667541
Sum14488143
Variance283.3469258
MonotonicityNot monotonic
2022-11-23T19:36:44.704222image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
9509820
 
16.9%
9510393
 
8.1%
9512133
 
2.7%
9511124
 
2.6%
960139
 
0.8%
96028
 
0.2%
96036
 
0.1%
(Missing)3320
68.6%
ValueCountFrequency (%)
9509820
16.9%
9510393
8.1%
9511124
 
2.6%
9512133
 
2.7%
960139
 
0.8%
ValueCountFrequency (%)
96036
 
0.1%
96028
 
0.2%
960139
 
0.8%
9512133
2.7%
9511124
2.6%

RDATE_13
Real number (ℝ≥0)

MISSING

Distinct12
Distinct (%)1.4%
Missing3976
Missing (%)82.1%
Infinite0
Infinite (%)0.0%
Mean9508.38639
Minimum9502
Maximum9603
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:44.754903image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9502
5-th percentile9507
Q19508
median9508
Q39508
95-th percentile9510
Maximum9603
Range101
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.477136856
Coefficient of variation (CV)0.000681202529
Kurtosis202.2161891
Mean9508.38639
Median Absolute Deviation (MAD)0
Skewness14.08381261
Sum8243771
Variance41.95330185
MonotonicityNot monotonic
2022-11-23T19:36:44.808011image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
9508551
 
11.4%
9507178
 
3.7%
950978
 
1.6%
951026
 
0.5%
951110
 
0.2%
95129
 
0.2%
95026
 
0.1%
95034
 
0.1%
96032
 
< 0.1%
96021
 
< 0.1%
Other values (2)2
 
< 0.1%
(Missing)3976
82.1%
ValueCountFrequency (%)
95026
 
0.1%
95034
 
0.1%
95041
 
< 0.1%
9507178
 
3.7%
9508551
11.4%
ValueCountFrequency (%)
96032
 
< 0.1%
96021
 
< 0.1%
96011
 
< 0.1%
95129
0.2%
951110
0.2%

RDATE_14
Real number (ℝ≥0)

MISSING

Distinct10
Distinct (%)0.6%
Missing3283
Missing (%)67.8%
Infinite0
Infinite (%)0.0%
Mean9507.296795
Minimum9506
Maximum9603
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:44.860037image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9506
5-th percentile9506
Q19506
median9506
Q39507
95-th percentile9509
Maximum9603
Range97
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.69660355
Coefficient of variation (CV)0.0008095469949
Kurtosis145.3096775
Mean9507.296795
Median Absolute Deviation (MAD)0
Skewness12.00804742
Sum14831383
Variance59.23770621
MonotonicityNot monotonic
2022-11-23T19:36:44.909295image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
9506892
 
18.4%
9507462
 
9.5%
950892
 
1.9%
950945
 
0.9%
951029
 
0.6%
951215
 
0.3%
951115
 
0.3%
96035
 
0.1%
96014
 
0.1%
96021
 
< 0.1%
(Missing)3283
67.8%
ValueCountFrequency (%)
9506892
18.4%
9507462
9.5%
950892
 
1.9%
950945
 
0.9%
951029
 
0.6%
ValueCountFrequency (%)
96035
 
0.1%
96021
 
< 0.1%
96014
 
0.1%
951215
0.3%
951115
0.3%

RDATE_15
Real number (ℝ≥0)

MISSING

Distinct14
Distinct (%)2.7%
Missing4332
Missing (%)89.4%
Infinite0
Infinite (%)0.0%
Mean9506.154599
Minimum9412
Maximum9602
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:44.960815image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9412
5-th percentile9505
Q19505
median9505
Q39506
95-th percentile9509
Maximum9602
Range190
Interquartile range (IQR)1

Descriptive statistics

Standard deviation9.512302323
Coefficient of variation (CV)0.00100064671
Kurtosis96.14627755
Mean9506.154599
Median Absolute Deviation (MAD)0
Skewness6.0235008
Sum4857645
Variance90.48389548
MonotonicityNot monotonic
2022-11-23T19:36:45.010071image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
9505329
 
6.8%
9506116
 
2.4%
950724
 
0.5%
950910
 
0.2%
95089
 
0.2%
95106
 
0.1%
95124
 
0.1%
95113
 
0.1%
95033
 
0.1%
96012
 
< 0.1%
Other values (4)5
 
0.1%
(Missing)4332
89.4%
ValueCountFrequency (%)
94121
 
< 0.1%
95021
 
< 0.1%
95033
 
0.1%
95041
 
< 0.1%
9505329
6.8%
ValueCountFrequency (%)
96022
 
< 0.1%
96012
 
< 0.1%
95124
0.1%
95113
0.1%
95106
0.1%

RDATE_16
Real number (ℝ≥0)

MISSING

Distinct16
Distinct (%)1.0%
Missing3310
Missing (%)68.3%
Infinite0
Infinite (%)0.0%
Mean9505.097847
Minimum9411
Maximum9603
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:45.064567image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9411
5-th percentile9503
Q19504
median9504
Q39505
95-th percentile9507
Maximum9603
Range192
Interquartile range (IQR)1

Descriptive statistics

Standard deviation10.20524755
Coefficient of variation (CV)0.001073660442
Kurtosis84.18697993
Mean9505.097847
Median Absolute Deviation (MAD)0
Skewness5.243172542
Sum14571315
Variance104.1470776
MonotonicityNot monotonic
2022-11-23T19:36:45.116774image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
9504982
 
20.3%
9505281
 
5.8%
950690
 
1.9%
950378
 
1.6%
950729
 
0.6%
950817
 
0.4%
950912
 
0.2%
951111
 
0.2%
95129
 
0.2%
95106
 
0.1%
Other values (6)18
 
0.4%
(Missing)3310
68.3%
ValueCountFrequency (%)
94111
 
< 0.1%
94123
 
0.1%
95011
 
< 0.1%
950378
 
1.6%
9504982
20.3%
ValueCountFrequency (%)
96033
 
0.1%
96025
0.1%
96015
0.1%
95129
0.2%
951111
0.2%

RDATE_17
Real number (ℝ≥0)

MISSING

Distinct11
Distinct (%)2.1%
Missing4330
Missing (%)89.4%
Infinite0
Infinite (%)0.0%
Mean9503.261209
Minimum9502
Maximum9512
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:45.172901image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9502
5-th percentile9502
Q19502
median9503
Q39503
95-th percentile9506
Maximum9512
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.575569125
Coefficient of variation (CV)0.0001657924675
Kurtosis11.34894137
Mean9503.261209
Median Absolute Deviation (MAD)0
Skewness3.01637114
Sum4875173
Variance2.482418068
MonotonicityNot monotonic
2022-11-23T19:36:45.224718image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
9503265
 
5.5%
9502137
 
2.8%
950457
 
1.2%
950518
 
0.4%
950615
 
0.3%
95096
 
0.1%
95074
 
0.1%
95124
 
0.1%
95083
 
0.1%
95102
 
< 0.1%
(Missing)4330
89.4%
ValueCountFrequency (%)
9502137
2.8%
9503265
5.5%
950457
 
1.2%
950518
 
0.4%
950615
 
0.3%
ValueCountFrequency (%)
95124
0.1%
95112
 
< 0.1%
95102
 
< 0.1%
95096
0.1%
95083
0.1%

RDATE_18
Real number (ℝ≥0)

MISSING

Distinct13
Distinct (%)1.1%
Missing3635
Missing (%)75.1%
Infinite0
Infinite (%)0.0%
Mean9501.778146
Minimum9412
Maximum9512
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:45.276071image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9412
5-th percentile9501
Q19501
median9501
Q39502
95-th percentile9507
Maximum9512
Range100
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.681321144
Coefficient of variation (CV)0.0007031653488
Kurtosis159.9574372
Mean9501.778146
Median Absolute Deviation (MAD)0
Skewness-11.99130645
Sum11478148
Variance44.64005223
MonotonicityNot monotonic
2022-11-23T19:36:45.403410image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
9501649
 
13.4%
9502290
 
6.0%
950379
 
1.6%
950755
 
1.1%
950439
 
0.8%
950624
 
0.5%
950521
 
0.4%
950818
 
0.4%
950910
 
0.2%
94126
 
0.1%
Other values (3)17
 
0.4%
(Missing)3635
75.1%
ValueCountFrequency (%)
94126
 
0.1%
9501649
13.4%
9502290
6.0%
950379
 
1.6%
950439
 
0.8%
ValueCountFrequency (%)
95125
 
0.1%
95116
 
0.1%
95106
 
0.1%
950910
0.2%
950818
0.4%

RDATE_19
Real number (ℝ≥0)

MISSING

Distinct12
Distinct (%)1.2%
Missing3854
Missing (%)79.6%
Infinite0
Infinite (%)0.0%
Mean9423.006067
Minimum9409
Maximum9508
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:45.453069image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9409
5-th percentile9412
Q19412
median9412
Q39412
95-th percentile9501
Maximum9508
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation29.63413824
Coefficient of variation (CV)0.003144870971
Kurtosis3.279552096
Mean9423.006067
Median Absolute Deviation (MAD)0
Skewness2.295054934
Sum9319353
Variance878.1821494
MonotonicityNot monotonic
2022-11-23T19:36:45.500691image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
9412819
 
16.9%
950175
 
1.5%
941032
 
0.7%
950221
 
0.4%
941112
 
0.2%
950310
 
0.2%
95046
 
0.1%
95064
 
0.1%
94094
 
0.1%
95073
 
0.1%
Other values (2)3
 
0.1%
(Missing)3854
79.6%
ValueCountFrequency (%)
94094
 
0.1%
941032
 
0.7%
941112
 
0.2%
9412819
16.9%
950175
 
1.5%
ValueCountFrequency (%)
95082
 
< 0.1%
95073
0.1%
95064
0.1%
95051
 
< 0.1%
95046
0.1%

RDATE_20
Real number (ℝ≥0)

MISSING

Distinct10
Distinct (%)2.4%
Missing4426
Missing (%)91.4%
Infinite0
Infinite (%)0.0%
Mean9422.031175
Minimum9411
Maximum9508
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:45.548597image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9411
5-th percentile9411
Q19411
median9412
Q39412
95-th percentile9502
Maximum9508
Range97
Interquartile range (IQR)1

Descriptive statistics

Standard deviation28.99239766
Coefficient of variation (CV)0.003077085728
Kurtosis3.890277347
Mean9422.031175
Median Absolute Deviation (MAD)0
Skewness2.421648626
Sum3928987
Variance840.5591219
MonotonicityNot monotonic
2022-11-23T19:36:45.597124image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
9412218
 
4.5%
9411151
 
3.1%
950124
 
0.5%
950211
 
0.2%
95044
 
0.1%
95053
 
0.1%
95032
 
< 0.1%
95062
 
< 0.1%
95071
 
< 0.1%
95081
 
< 0.1%
(Missing)4426
91.4%
ValueCountFrequency (%)
9411151
3.1%
9412218
4.5%
950124
 
0.5%
950211
 
0.2%
95032
 
< 0.1%
ValueCountFrequency (%)
95081
 
< 0.1%
95071
 
< 0.1%
95062
< 0.1%
95053
0.1%
95044
0.1%

RDATE_21
Real number (ℝ≥0)

MISSING

Distinct10
Distinct (%)2.0%
Missing4353
Missing (%)89.9%
Infinite0
Infinite (%)0.0%
Mean9417.938776
Minimum9410
Maximum9508
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:45.646541image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9410
5-th percentile9410
Q19410
median9411
Q39411
95-th percentile9501
Maximum9508
Range98
Interquartile range (IQR)1

Descriptive statistics

Standard deviation24.5555238
Coefficient of variation (CV)0.002607314019
Kurtosis8.080092682
Mean9417.938776
Median Absolute Deviation (MAD)0
Skewness3.16751837
Sum4614790
Variance602.973749
MonotonicityNot monotonic
2022-11-23T19:36:45.693369image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
9411265
 
5.5%
9410132
 
2.7%
941255
 
1.1%
950114
 
0.3%
950210
 
0.2%
95036
 
0.1%
95053
 
0.1%
95062
 
< 0.1%
95042
 
< 0.1%
95081
 
< 0.1%
(Missing)4353
89.9%
ValueCountFrequency (%)
9410132
2.7%
9411265
5.5%
941255
 
1.1%
950114
 
0.3%
950210
 
0.2%
ValueCountFrequency (%)
95081
 
< 0.1%
95062
 
< 0.1%
95053
0.1%
95042
 
< 0.1%
95036
0.1%

RDATE_22
Real number (ℝ≥0)

MISSING

Distinct11
Distinct (%)0.9%
Missing3589
Missing (%)74.1%
Infinite0
Infinite (%)0.0%
Mean9412.998405
Minimum9409
Maximum9508
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:45.741525image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9409
5-th percentile9409
Q19409
median9409
Q39410
95-th percentile9412
Maximum9508
Range99
Interquartile range (IQR)1

Descriptive statistics

Standard deviation17.3770449
Coefficient of variation (CV)0.001846069037
Kurtosis22.91455657
Mean9412.998405
Median Absolute Deviation (MAD)0
Skewness4.97865669
Sum11803900
Variance301.9616894
MonotonicityNot monotonic
2022-11-23T19:36:45.790418image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
9409707
 
14.6%
9410304
 
6.3%
9411109
 
2.3%
941289
 
1.8%
950116
 
0.3%
95027
 
0.1%
95047
 
0.1%
95037
 
0.1%
95054
 
0.1%
95083
 
0.1%
(Missing)3589
74.1%
ValueCountFrequency (%)
9409707
14.6%
9410304
6.3%
9411109
 
2.3%
941289
 
1.8%
950116
 
0.3%
ValueCountFrequency (%)
95083
0.1%
95071
 
< 0.1%
95054
0.1%
95047
0.1%
95037
0.1%

RDATE_23
Real number (ℝ≥0)

MISSING

Distinct10
Distinct (%)2.0%
Missing4341
Missing (%)89.6%
Infinite0
Infinite (%)0.0%
Mean9409.760956
Minimum9403
Maximum9506
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:45.840620image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9403
5-th percentile9407
Q19408
median9408
Q39408
95-th percentile9410
Maximum9506
Range103
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.65757485
Coefficient of variation (CV)0.001345153709
Kurtosis50.87178727
Mean9409.760956
Median Absolute Deviation (MAD)0
Skewness7.237868067
Sum4723700
Variance160.2142011
MonotonicityNot monotonic
2022-11-23T19:36:45.890365image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
9408310
 
6.4%
940797
 
2.0%
940956
 
1.2%
941018
 
0.4%
95026
 
0.1%
94116
 
0.1%
94125
 
0.1%
95062
 
< 0.1%
95041
 
< 0.1%
94031
 
< 0.1%
(Missing)4341
89.6%
ValueCountFrequency (%)
94031
 
< 0.1%
940797
 
2.0%
9408310
6.4%
940956
 
1.2%
941018
 
0.4%
ValueCountFrequency (%)
95062
 
< 0.1%
95041
 
< 0.1%
95026
0.1%
94125
0.1%
94116
0.1%

RDATE_24
Real number (ℝ≥0)

MISSING

Distinct13
Distinct (%)1.1%
Missing3704
Missing (%)76.5%
Infinite0
Infinite (%)0.0%
Mean9407.592625
Minimum9309
Maximum9504
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:45.942343image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9309
5-th percentile9406
Q19406
median9407
Q39407
95-th percentile9409
Maximum9504
Range195
Interquartile range (IQR)1

Descriptive statistics

Standard deviation10.27875871
Coefficient of variation (CV)0.001092602445
Kurtosis82.46711229
Mean9407.592625
Median Absolute Deviation (MAD)1
Skewness6.105498061
Sum10715248
Variance105.6528805
MonotonicityNot monotonic
2022-11-23T19:36:45.994122image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
9407509
 
10.5%
9406464
 
9.6%
940884
 
1.7%
940932
 
0.7%
941019
 
0.4%
941112
 
0.2%
94126
 
0.1%
95024
 
0.1%
95043
 
0.1%
95032
 
< 0.1%
Other values (3)4
 
0.1%
(Missing)3704
76.5%
ValueCountFrequency (%)
93091
 
< 0.1%
93101
 
< 0.1%
9406464
9.6%
9407509
10.5%
940884
 
1.7%
ValueCountFrequency (%)
95043
0.1%
95032
 
< 0.1%
95024
0.1%
95012
 
< 0.1%
94126
0.1%

RAMNT_3
Real number (ℝ≥0)

MISSING

Distinct14
Distinct (%)34.1%
Missing4802
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean10.29268293
Minimum2
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:46.049014image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q15
median8
Q312
95-th percentile20
Maximum30
Range28
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.731433363
Coefficient of variation (CV)0.6540018196
Kurtosis0.6566894745
Mean10.29268293
Median Absolute Deviation (MAD)3
Skewness1.114948351
Sum422
Variance45.31219512
MonotonicityNot monotonic
2022-11-23T19:36:46.094940image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
206
 
0.1%
106
 
0.1%
56
 
0.1%
84
 
0.1%
123
 
0.1%
33
 
0.1%
73
 
0.1%
43
 
0.1%
152
 
< 0.1%
21
 
< 0.1%
Other values (4)4
 
0.1%
(Missing)4802
99.2%
ValueCountFrequency (%)
21
 
< 0.1%
33
0.1%
43
0.1%
56
0.1%
61
 
< 0.1%
ValueCountFrequency (%)
301
 
< 0.1%
251
 
< 0.1%
206
0.1%
152
 
< 0.1%
123
0.1%

RAMNT_4
Real number (ℝ≥0)

MISSING

Distinct13
Distinct (%)44.8%
Missing4814
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean16.32758621
Minimum4
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:46.145978image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5
Q17
median10
Q320.5
95-th percentile25
Maximum100
Range96
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation17.7242146
Coefficient of variation (CV)1.085537959
Kurtosis18.70553642
Mean16.32758621
Median Absolute Deviation (MAD)5
Skewness3.974442449
Sum473.5
Variance314.1477833
MonotonicityNot monotonic
2022-11-23T19:36:46.197663image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
105
 
0.1%
255
 
0.1%
54
 
0.1%
73
 
0.1%
202
 
< 0.1%
152
 
< 0.1%
82
 
< 0.1%
121
 
< 0.1%
111
 
< 0.1%
41
 
< 0.1%
Other values (3)3
 
0.1%
(Missing)4814
99.4%
ValueCountFrequency (%)
41
 
< 0.1%
54
0.1%
73
0.1%
82
 
< 0.1%
105
0.1%
ValueCountFrequency (%)
1001
 
< 0.1%
255
0.1%
241
 
< 0.1%
20.51
 
< 0.1%
202
 
< 0.1%

RAMNT_5
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)100.0%
Missing4841
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean7
Minimum4
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:46.245476image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4.3
Q15.5
median7
Q38.5
95-th percentile9.7
Maximum10
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.242640687
Coefficient of variation (CV)0.6060915267
Kurtosisnan
Mean7
Median Absolute Deviation (MAD)3
Skewnessnan
Sum14
Variance18
MonotonicityStrictly decreasing
2022-11-23T19:36:46.287022image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
101
 
< 0.1%
41
 
< 0.1%
(Missing)4841
> 99.9%
ValueCountFrequency (%)
41
< 0.1%
101
< 0.1%
ValueCountFrequency (%)
101
< 0.1%
41
< 0.1%

RAMNT_6
Real number (ℝ≥0)

MISSING

Distinct20
Distinct (%)30.3%
Missing4777
Missing (%)98.6%
Infinite0
Infinite (%)0.0%
Mean11.335
Minimum2
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:46.337819image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q15
median10
Q315.75
95-th percentile25
Maximum30
Range28
Interquartile range (IQR)10.75

Descriptive statistics

Standard deviation7.046052086
Coefficient of variation (CV)0.6216190636
Kurtosis0.05725123951
Mean11.335
Median Absolute Deviation (MAD)5
Skewness0.8675140934
Sum748.11
Variance49.64685
MonotonicityNot monotonic
2022-11-23T19:36:46.389299image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
515
 
0.3%
1011
 
0.2%
205
 
0.1%
154
 
0.1%
34
 
0.1%
253
 
0.1%
163
 
0.1%
72
 
< 0.1%
172
 
< 0.1%
122
 
< 0.1%
Other values (10)15
 
0.3%
(Missing)4777
98.6%
ValueCountFrequency (%)
21
 
< 0.1%
34
 
0.1%
42
 
< 0.1%
515
0.3%
61
 
< 0.1%
ValueCountFrequency (%)
302
 
< 0.1%
253
0.1%
241
 
< 0.1%
205
0.1%
191
 
< 0.1%

RAMNT_7
Real number (ℝ≥0)

MISSING

Distinct33
Distinct (%)6.9%
Missing4366
Missing (%)90.2%
Infinite0
Infinite (%)0.0%
Mean12.35010482
Minimum2
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:46.450575image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median10
Q315
95-th percentile25
Maximum100
Range98
Interquartile range (IQR)9

Descriptive statistics

Standard deviation8.694153413
Coefficient of variation (CV)0.7039740584
Kurtosis23.91954256
Mean12.35010482
Median Absolute Deviation (MAD)5
Skewness3.309766024
Sum5891
Variance75.58830356
MonotonicityNot monotonic
2022-11-23T19:36:46.512454image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1087
 
1.8%
578
 
1.6%
1562
 
1.3%
2041
 
0.8%
726
 
0.5%
2523
 
0.5%
318
 
0.4%
618
 
0.4%
1115
 
0.3%
1611
 
0.2%
Other values (23)98
 
2.0%
(Missing)4366
90.2%
ValueCountFrequency (%)
25
 
0.1%
2.52
 
< 0.1%
318
 
0.4%
410
 
0.2%
578
1.6%
ValueCountFrequency (%)
1001
 
< 0.1%
504
0.1%
491
 
< 0.1%
402
< 0.1%
371
 
< 0.1%

RAMNT_8
Real number (ℝ≥0)

MISSING

Distinct42
Distinct (%)3.0%
Missing3443
Missing (%)71.1%
Infinite0
Infinite (%)0.0%
Mean13.33225
Minimum1
Maximum250
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:46.655178image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q18
median11
Q315
95-th percentile25
Maximum250
Range249
Interquartile range (IQR)7

Descriptive statistics

Standard deviation11.00765788
Coefficient of variation (CV)0.8256414247
Kurtosis163.6290508
Mean13.33225
Median Absolute Deviation (MAD)4
Skewness9.10789572
Sum18665.15
Variance121.1685321
MonotonicityNot monotonic
2022-11-23T19:36:46.722201image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
10249
 
5.1%
5182
 
3.8%
15180
 
3.7%
20125
 
2.6%
1285
 
1.8%
2575
 
1.5%
769
 
1.4%
849
 
1.0%
1144
 
0.9%
640
 
0.8%
Other values (32)302
 
6.2%
(Missing)3443
71.1%
ValueCountFrequency (%)
11
 
< 0.1%
27
 
0.1%
331
 
0.6%
418
 
0.4%
5182
3.8%
ValueCountFrequency (%)
2501
 
< 0.1%
1004
0.1%
603
 
0.1%
532
 
< 0.1%
509
0.2%

RAMNT_9
Real number (ℝ≥0)

MISSING

Distinct40
Distinct (%)3.8%
Missing3788
Missing (%)78.2%
Infinite0
Infinite (%)0.0%
Mean13.25971564
Minimum2
Maximum200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:46.789627image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q17
median11
Q315.5
95-th percentile25
Maximum200
Range198
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation11.5838187
Coefficient of variation (CV)0.8736098885
Kurtosis133.1622244
Mean13.25971564
Median Absolute Deviation (MAD)4
Skewness9.150218405
Sum13989
Variance134.1848557
MonotonicityNot monotonic
2022-11-23T19:36:46.856301image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
10167
 
3.4%
15123
 
2.5%
5120
 
2.5%
20104
 
2.1%
1268
 
1.4%
761
 
1.3%
647
 
1.0%
945
 
0.9%
2538
 
0.8%
836
 
0.7%
Other values (30)246
 
5.1%
(Missing)3788
78.2%
ValueCountFrequency (%)
26
 
0.1%
320
 
0.4%
415
 
0.3%
5120
2.5%
647
 
1.0%
ValueCountFrequency (%)
2002
 
< 0.1%
1002
 
< 0.1%
509
0.2%
461
 
< 0.1%
421
 
< 0.1%

RAMNT_10
Real number (ℝ≥0)

MISSING

Distinct38
Distinct (%)7.2%
Missing4313
Missing (%)89.1%
Infinite0
Infinite (%)0.0%
Mean13.14245283
Minimum1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:46.926631image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q17
median10
Q315
95-th percentile27
Maximum100
Range99
Interquartile range (IQR)8

Descriptive statistics

Standard deviation9.394674799
Coefficient of variation (CV)0.7148342033
Kurtosis21.70808899
Mean13.14245283
Median Absolute Deviation (MAD)5
Skewness3.386092007
Sum6965.5
Variance88.25991458
MonotonicityNot monotonic
2022-11-23T19:36:46.991569image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
1097
 
2.0%
567
 
1.4%
1561
 
1.3%
2046
 
0.9%
1235
 
0.7%
731
 
0.6%
2526
 
0.5%
624
 
0.5%
1715
 
0.3%
815
 
0.3%
Other values (28)113
 
2.3%
(Missing)4313
89.1%
ValueCountFrequency (%)
11
 
< 0.1%
28
0.2%
2.51
 
< 0.1%
37
0.1%
47
0.1%
ValueCountFrequency (%)
1001
 
< 0.1%
861
 
< 0.1%
505
0.1%
461
 
< 0.1%
431
 
< 0.1%

RAMNT_11
Real number (ℝ≥0)

MISSING

Distinct41
Distinct (%)4.9%
Missing4001
Missing (%)82.6%
Infinite0
Infinite (%)0.0%
Mean12.39608076
Minimum1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:47.058507image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q16
median10
Q315
95-th percentile25
Maximum100
Range99
Interquartile range (IQR)9

Descriptive statistics

Standard deviation8.931777167
Coefficient of variation (CV)0.7205323473
Kurtosis25.30267641
Mean12.39608076
Median Absolute Deviation (MAD)5
Skewness3.486533831
Sum10437.5
Variance79.77664336
MonotonicityNot monotonic
2022-11-23T19:36:47.125801image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
10171
 
3.5%
5131
 
2.7%
1587
 
1.8%
2080
 
1.7%
642
 
0.9%
2541
 
0.8%
733
 
0.7%
1130
 
0.6%
1230
 
0.6%
327
 
0.6%
Other values (31)170
 
3.5%
(Missing)4001
82.6%
ValueCountFrequency (%)
14
 
0.1%
1.51
 
< 0.1%
27
 
0.1%
327
0.6%
420
0.4%
ValueCountFrequency (%)
1002
< 0.1%
751
 
< 0.1%
504
0.1%
471
 
< 0.1%
452
< 0.1%

RAMNT_12
Real number (ℝ≥0)

MISSING

Distinct42
Distinct (%)2.8%
Missing3320
Missing (%)68.6%
Infinite0
Infinite (%)0.0%
Mean12.79317794
Minimum2
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:47.194521image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median10
Q315
95-th percentile25
Maximum100
Range98
Interquartile range (IQR)8

Descriptive statistics

Standard deviation9.328655823
Coefficient of variation (CV)0.7291898751
Kurtosis28.86349053
Mean12.79317794
Median Absolute Deviation (MAD)5
Skewness4.018162933
Sum19484.01
Variance87.02381946
MonotonicityNot monotonic
2022-11-23T19:36:47.262533image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
10287
 
5.9%
5207
 
4.3%
15163
 
3.4%
20127
 
2.6%
792
 
1.9%
1283
 
1.7%
2569
 
1.4%
656
 
1.2%
846
 
0.9%
1343
 
0.9%
Other values (32)350
 
7.2%
(Missing)3320
68.6%
ValueCountFrequency (%)
27
 
0.1%
342
 
0.9%
429
 
0.6%
5207
4.3%
656
 
1.2%
ValueCountFrequency (%)
1005
0.1%
752
 
< 0.1%
701
 
< 0.1%
521
 
< 0.1%
5012
0.2%

RAMNT_13
Real number (ℝ≥0)

MISSING

Distinct40
Distinct (%)4.6%
Missing3976
Missing (%)82.1%
Infinite0
Infinite (%)0.0%
Mean11.46309112
Minimum1
Maximum119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:47.328902image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q15
median10
Q315
95-th percentile25
Maximum119
Range118
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.208126917
Coefficient of variation (CV)0.7160483007
Kurtosis38.36978615
Mean11.46309112
Median Absolute Deviation (MAD)5
Skewness3.962960029
Sum9938.5
Variance67.37334748
MonotonicityNot monotonic
2022-11-23T19:36:47.393471image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
10146
 
3.0%
5144
 
3.0%
1578
 
1.6%
2063
 
1.3%
650
 
1.0%
746
 
0.9%
1141
 
0.8%
441
 
0.8%
2534
 
0.7%
931
 
0.6%
Other values (30)193
 
4.0%
(Missing)3976
82.1%
ValueCountFrequency (%)
12
 
< 0.1%
29
 
0.2%
328
 
0.6%
441
 
0.8%
5144
3.0%
ValueCountFrequency (%)
1191
< 0.1%
751
< 0.1%
501
< 0.1%
431
< 0.1%
411
< 0.1%

RAMNT_14
Real number (ℝ≥0)

MISSING

Distinct43
Distinct (%)2.8%
Missing3283
Missing (%)67.8%
Infinite0
Infinite (%)0.0%
Mean11.67179487
Minimum1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:47.461687image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q15
median10
Q315
95-th percentile25
Maximum100
Range99
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.643849715
Coefficient of variation (CV)0.7405758763
Kurtosis27.28303351
Mean11.67179487
Median Absolute Deviation (MAD)5
Skewness3.752410055
Sum18208
Variance74.71613789
MonotonicityNot monotonic
2022-11-23T19:36:47.530525image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
10317
 
6.5%
5304
 
6.3%
15162
 
3.3%
20129
 
2.7%
774
 
1.5%
669
 
1.4%
2566
 
1.4%
1156
 
1.2%
354
 
1.1%
440
 
0.8%
Other values (33)289
 
6.0%
(Missing)3283
67.8%
ValueCountFrequency (%)
11
 
< 0.1%
1.51
 
< 0.1%
212
 
0.2%
354
1.1%
440
0.8%
ValueCountFrequency (%)
1003
0.1%
801
 
< 0.1%
751
 
< 0.1%
601
 
< 0.1%
581
 
< 0.1%

RAMNT_15
Real number (ℝ≥0)

MISSING

Distinct34
Distinct (%)6.7%
Missing4332
Missing (%)89.4%
Infinite0
Infinite (%)0.0%
Mean11.17632094
Minimum2
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:47.596620image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q15
median10
Q314
95-th percentile25
Maximum60
Range58
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.495609628
Coefficient of variation (CV)0.6706687888
Kurtosis9.026812224
Mean11.17632094
Median Absolute Deviation (MAD)5
Skewness2.37141976
Sum5711.1
Variance56.18416369
MonotonicityNot monotonic
2022-11-23T19:36:47.655801image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
598
 
2.0%
1092
 
1.9%
736
 
0.7%
1535
 
0.7%
2029
 
0.6%
621
 
0.4%
1221
 
0.4%
919
 
0.4%
1318
 
0.4%
317
 
0.4%
Other values (24)125
 
2.6%
(Missing)4332
89.4%
ValueCountFrequency (%)
24
 
0.1%
317
 
0.4%
414
 
0.3%
598
2.0%
621
 
0.4%
ValueCountFrequency (%)
601
 
< 0.1%
504
0.1%
431
 
< 0.1%
381
 
< 0.1%
353
0.1%

RAMNT_16
Real number (ℝ≥0)

MISSING

Distinct42
Distinct (%)2.7%
Missing3310
Missing (%)68.3%
Infinite0
Infinite (%)0.0%
Mean11.72658187
Minimum2
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:47.802899image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q16
median10
Q315
95-th percentile25
Maximum100
Range98
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.287118866
Coefficient of variation (CV)0.6214188371
Kurtosis18.2433364
Mean11.72658187
Median Absolute Deviation (MAD)5
Skewness2.630034641
Sum17976.85
Variance53.10210136
MonotonicityNot monotonic
2022-11-23T19:36:47.871260image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
10276
 
5.7%
5241
 
5.0%
15146
 
3.0%
20125
 
2.6%
7108
 
2.2%
1283
 
1.7%
664
 
1.3%
2559
 
1.2%
1156
 
1.2%
955
 
1.1%
Other values (32)320
 
6.6%
(Missing)3310
68.3%
ValueCountFrequency (%)
213
 
0.3%
344
 
0.9%
422
 
0.5%
5241
5.0%
5.61
 
< 0.1%
ValueCountFrequency (%)
1001
 
< 0.1%
602
< 0.1%
504
0.1%
431
 
< 0.1%
402
< 0.1%

RAMNT_17
Real number (ℝ≥0)

MISSING

Distinct30
Distinct (%)5.8%
Missing4330
Missing (%)89.4%
Infinite0
Infinite (%)0.0%
Mean10.66861598
Minimum2
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:47.935848image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q15
median10
Q314
95-th percentile25
Maximum60
Range58
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.073507009
Coefficient of variation (CV)0.6630201161
Kurtosis9.166995285
Mean10.66861598
Median Absolute Deviation (MAD)5
Skewness2.244043835
Sum5473
Variance50.0345014
MonotonicityNot monotonic
2022-11-23T19:36:47.993532image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
5112
 
2.3%
10111
 
2.3%
1543
 
0.9%
2034
 
0.7%
625
 
0.5%
722
 
0.5%
321
 
0.4%
2520
 
0.4%
419
 
0.4%
1116
 
0.3%
Other values (20)90
 
1.9%
(Missing)4330
89.4%
ValueCountFrequency (%)
24
 
0.1%
321
 
0.4%
419
 
0.4%
5112
2.3%
625
 
0.5%
ValueCountFrequency (%)
601
< 0.1%
541
< 0.1%
501
< 0.1%
402
< 0.1%
321
< 0.1%

RAMNT_18
Real number (ℝ≥0)

MISSING

Distinct41
Distinct (%)3.4%
Missing3635
Missing (%)75.1%
Infinite0
Infinite (%)0.0%
Mean10.95290563
Minimum1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:48.060026image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median10
Q313
95-th percentile25
Maximum100
Range99
Interquartile range (IQR)8

Descriptive statistics

Standard deviation8.284351511
Coefficient of variation (CV)0.7563610782
Kurtosis25.1365335
Mean10.95290563
Median Absolute Deviation (MAD)5
Skewness3.683663692
Sum13231.11
Variance68.63047995
MonotonicityNot monotonic
2022-11-23T19:36:48.126180image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
5259
 
5.3%
10253
 
5.2%
1572
 
1.5%
772
 
1.5%
367
 
1.4%
2066
 
1.4%
1258
 
1.2%
2549
 
1.0%
645
 
0.9%
1144
 
0.9%
Other values (31)223
 
4.6%
(Missing)3635
75.1%
ValueCountFrequency (%)
11
 
< 0.1%
28
 
0.2%
367
 
1.4%
418
 
0.4%
5259
5.3%
ValueCountFrequency (%)
1001
< 0.1%
921
< 0.1%
701
< 0.1%
602
< 0.1%
531
< 0.1%

RAMNT_19
Real number (ℝ≥0)

MISSING

Distinct35
Distinct (%)3.5%
Missing3854
Missing (%)79.6%
Infinite0
Infinite (%)0.0%
Mean11.49160768
Minimum2
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:48.191523image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q16
median10
Q315
95-th percentile25
Maximum100
Range98
Interquartile range (IQR)9

Descriptive statistics

Standard deviation8.415008542
Coefficient of variation (CV)0.7322742625
Kurtosis38.97083565
Mean11.49160768
Median Absolute Deviation (MAD)4
Skewness4.621117162
Sum11365.2
Variance70.81236877
MonotonicityNot monotonic
2022-11-23T19:36:48.254182image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
10188
 
3.9%
5153
 
3.2%
1584
 
1.7%
781
 
1.7%
2057
 
1.2%
1255
 
1.1%
647
 
1.0%
342
 
0.9%
1140
 
0.8%
836
 
0.7%
Other values (25)206
 
4.3%
(Missing)3854
79.6%
ValueCountFrequency (%)
24
 
0.1%
342
 
0.9%
49
 
0.2%
5153
3.2%
647
 
1.0%
ValueCountFrequency (%)
1003
 
0.1%
508
0.2%
381
 
< 0.1%
361
 
< 0.1%
353
 
0.1%

RAMNT_20
Real number (ℝ≥0)

MISSING

Distinct33
Distinct (%)7.9%
Missing4426
Missing (%)91.4%
Infinite0
Infinite (%)0.0%
Mean11.85611511
Minimum2
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:48.317333image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median10
Q315
95-th percentile25
Maximum100
Range98
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.80214574
Coefficient of variation (CV)0.6580693312
Kurtosis39.32539806
Mean11.85611511
Median Absolute Deviation (MAD)4
Skewness4.214760974
Sum4944
Variance60.87347814
MonotonicityNot monotonic
2022-11-23T19:36:48.379488image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1084
 
1.7%
558
 
1.2%
1548
 
1.0%
2029
 
0.6%
729
 
0.6%
1226
 
0.5%
816
 
0.3%
915
 
0.3%
1115
 
0.3%
612
 
0.2%
Other values (23)85
 
1.8%
(Missing)4426
91.4%
ValueCountFrequency (%)
24
 
0.1%
311
 
0.2%
47
 
0.1%
558
1.2%
612
 
0.2%
ValueCountFrequency (%)
1001
< 0.1%
411
< 0.1%
401
< 0.1%
381
< 0.1%
351
< 0.1%

RAMNT_21
Real number (ℝ≥0)

MISSING

Distinct31
Distinct (%)6.3%
Missing4353
Missing (%)89.9%
Infinite0
Infinite (%)0.0%
Mean11.41734694
Minimum2
Maximum200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:48.441883image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q15
median10
Q315
95-th percentile23.55
Maximum200
Range198
Interquartile range (IQR)10

Descriptive statistics

Standard deviation12.20587731
Coefficient of variation (CV)1.069064238
Kurtosis127.2680341
Mean11.41734694
Median Absolute Deviation (MAD)5
Skewness9.412645591
Sum5594.5
Variance148.9834408
MonotonicityNot monotonic
2022-11-23T19:36:48.504672image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
10115
 
2.4%
598
 
2.0%
1550
 
1.0%
2032
 
0.7%
325
 
0.5%
625
 
0.5%
723
 
0.5%
821
 
0.4%
2514
 
0.3%
1113
 
0.3%
Other values (21)74
 
1.5%
(Missing)4353
89.9%
ValueCountFrequency (%)
21
 
< 0.1%
325
 
0.5%
48
 
0.2%
598
2.0%
5.51
 
< 0.1%
ValueCountFrequency (%)
2001
 
< 0.1%
1002
< 0.1%
503
0.1%
381
 
< 0.1%
351
 
< 0.1%

RAMNT_22
Real number (ℝ≥0)

MISSING

Distinct44
Distinct (%)3.5%
Missing3589
Missing (%)74.1%
Infinite0
Infinite (%)0.0%
Mean11.26327751
Minimum1
Maximum200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:48.575822image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median10
Q314
95-th percentile25
Maximum200
Range199
Interquartile range (IQR)9

Descriptive statistics

Standard deviation9.807822237
Coefficient of variation (CV)0.8707787078
Kurtosis123.4176651
Mean11.26327751
Median Absolute Deviation (MAD)5
Skewness8.010850876
Sum14124.15
Variance96.19337704
MonotonicityNot monotonic
2022-11-23T19:36:48.643165image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
10252
 
5.2%
5247
 
5.1%
1593
 
1.9%
780
 
1.7%
2072
 
1.5%
364
 
1.3%
1257
 
1.2%
1151
 
1.1%
849
 
1.0%
647
 
1.0%
Other values (34)242
 
5.0%
(Missing)3589
74.1%
ValueCountFrequency (%)
12
 
< 0.1%
26
 
0.1%
364
 
1.3%
416
 
0.3%
5247
5.1%
ValueCountFrequency (%)
2001
 
< 0.1%
1002
 
< 0.1%
881
 
< 0.1%
601
 
< 0.1%
505
0.1%

RAMNT_23
Real number (ℝ≥0)

MISSING

Distinct29
Distinct (%)5.8%
Missing4341
Missing (%)89.6%
Infinite0
Infinite (%)0.0%
Mean10.70717131
Minimum2
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:48.708181image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q15
median10
Q314
95-th percentile25
Maximum50
Range48
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.199184111
Coefficient of variation (CV)0.6723703114
Kurtosis6.032997246
Mean10.70717131
Median Absolute Deviation (MAD)5
Skewness1.943973444
Sum5375
Variance51.82825186
MonotonicityNot monotonic
2022-11-23T19:36:48.768898image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
597
 
2.0%
1084
 
1.7%
1535
 
0.7%
2027
 
0.6%
626
 
0.5%
1124
 
0.5%
2523
 
0.5%
423
 
0.5%
721
 
0.4%
821
 
0.4%
Other values (19)121
 
2.5%
(Missing)4341
89.6%
ValueCountFrequency (%)
212
 
0.2%
319
 
0.4%
423
 
0.5%
597
2.0%
626
 
0.5%
ValueCountFrequency (%)
503
0.1%
431
 
< 0.1%
402
< 0.1%
341
 
< 0.1%
302
< 0.1%

RAMNT_24
Real number (ℝ≥0)

MISSING

Distinct36
Distinct (%)3.2%
Missing3704
Missing (%)76.5%
Infinite0
Infinite (%)0.0%
Mean10.04249342
Minimum2
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:48.832809image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q15
median9
Q311
95-th percentile22
Maximum100
Range98
Interquartile range (IQR)6

Descriptive statistics

Standard deviation7.464414896
Coefficient of variation (CV)0.7432830261
Kurtosis35.21941111
Mean10.04249342
Median Absolute Deviation (MAD)4
Skewness4.32046559
Sum11438.4
Variance55.71748974
MonotonicityNot monotonic
2022-11-23T19:36:48.977881image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
5276
 
5.7%
10216
 
4.5%
1580
 
1.7%
1169
 
1.4%
660
 
1.2%
758
 
1.2%
357
 
1.2%
2051
 
1.1%
942
 
0.9%
1237
 
0.8%
Other values (26)193
 
4.0%
(Missing)3704
76.5%
ValueCountFrequency (%)
211
 
0.2%
357
 
1.2%
432
 
0.7%
5276
5.7%
660
 
1.2%
ValueCountFrequency (%)
1001
 
< 0.1%
753
0.1%
503
0.1%
461
 
< 0.1%
411
 
< 0.1%

RAMNTALL
Real number (ℝ≥0)

Distinct537
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.0025067
Minimum15
Maximum2200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:49.048785image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile20
Q147
median85
Q3139
95-th percentile288.9
Maximum2200
Range2185
Interquartile range (IQR)92

Descriptive statistics

Standard deviation112.3843184
Coefficient of variation (CV)1.003408956
Kurtosis61.33863242
Mean112.0025067
Median Absolute Deviation (MAD)43
Skewness5.49036023
Sum542428.14
Variance12630.23502
MonotonicityNot monotonic
2022-11-23T19:36:49.118369image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20143
 
3.0%
25127
 
2.6%
15118
 
2.4%
30103
 
2.1%
4582
 
1.7%
3571
 
1.5%
4066
 
1.4%
5062
 
1.3%
5554
 
1.1%
6050
 
1.0%
Other values (527)3967
81.9%
ValueCountFrequency (%)
15118
2.4%
162
 
< 0.1%
188
 
0.2%
192
 
< 0.1%
20143
3.0%
ValueCountFrequency (%)
22001
< 0.1%
17651
< 0.1%
16221
< 0.1%
16101
< 0.1%
13831
< 0.1%

NGIFTALL
Real number (ℝ≥0)

Distinct64
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.48482346
Minimum1
Maximum91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:49.191509image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median9
Q316
95-th percentile29
Maximum91
Range90
Interquartile range (IQR)11

Descriptive statistics

Standard deviation9.400005652
Coefficient of variation (CV)0.8184719328
Kurtosis5.994937752
Mean11.48482346
Median Absolute Deviation (MAD)5
Skewness1.821759154
Sum55621
Variance88.36010626
MonotonicityNot monotonic
2022-11-23T19:36:49.260027image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1323
 
6.7%
6307
 
6.3%
5291
 
6.0%
4281
 
5.8%
2280
 
5.8%
3279
 
5.8%
7272
 
5.6%
8222
 
4.6%
9216
 
4.5%
12212
 
4.4%
Other values (54)2160
44.6%
ValueCountFrequency (%)
1323
6.7%
2280
5.8%
3279
5.8%
4281
5.8%
5291
6.0%
ValueCountFrequency (%)
911
< 0.1%
891
< 0.1%
821
< 0.1%
771
< 0.1%
691
< 0.1%

CARDGIFT
Real number (ℝ≥0)

ZEROS

Distinct31
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.115837291
Minimum0
Maximum41
Zeros149
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:49.325855image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median5
Q39
95-th percentile16
Maximum41
Range41
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.892441111
Coefficient of variation (CV)0.7999626017
Kurtosis1.884975905
Mean6.115837291
Median Absolute Deviation (MAD)3
Skewness1.249135431
Sum29619
Variance23.93598002
MonotonicityNot monotonic
2022-11-23T19:36:49.385356image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1613
12.7%
2590
12.2%
4468
9.7%
3451
9.3%
6372
 
7.7%
5354
 
7.3%
7301
 
6.2%
8265
 
5.5%
9245
 
5.1%
10200
 
4.1%
Other values (21)984
20.3%
ValueCountFrequency (%)
0149
 
3.1%
1613
12.7%
2590
12.2%
3451
9.3%
4468
9.7%
ValueCountFrequency (%)
411
 
< 0.1%
291
 
< 0.1%
282
< 0.1%
272
< 0.1%
264
0.1%

MINRAMNT
Real number (ℝ≥0)

SKEWED

Distinct49
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.755756762
Minimum0
Maximum450
Zeros32
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:49.454024image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median5
Q310
95-th percentile20
Maximum450
Range450
Interquartile range (IQR)7

Descriptive statistics

Standard deviation9.199465963
Coefficient of variation (CV)1.361722496
Kurtosis1156.463022
Mean6.755756762
Median Absolute Deviation (MAD)2
Skewness25.93206096
Sum32718.13
Variance84.630174
MonotonicityNot monotonic
2022-11-23T19:36:49.522803image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
51718
35.5%
31102
22.8%
10659
 
13.6%
2400
 
8.3%
15211
 
4.4%
20195
 
4.0%
25119
 
2.5%
4102
 
2.1%
198
 
2.0%
654
 
1.1%
Other values (39)185
 
3.8%
ValueCountFrequency (%)
032
0.7%
0.016
 
0.1%
0.032
 
< 0.1%
0.041
 
< 0.1%
0.062
 
< 0.1%
ValueCountFrequency (%)
4501
< 0.1%
2001
< 0.1%
1001
< 0.1%
801
< 0.1%
531
< 0.1%

MINRDATE
Real number (ℝ≥0)

Distinct128
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9246.04935
Minimum8607
Maximum9702
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:49.595275image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum8607
5-th percentile8801
Q19011
median9304
Q39503
95-th percentile9602
Maximum9702
Range1095
Interquartile range (IQR)492

Descriptive statistics

Standard deviation267.3485409
Coefficient of variation (CV)0.02891489443
Kurtosis-0.830509463
Mean9246.04935
Median Absolute Deviation (MAD)202
Skewness-0.4981399435
Sum44778617
Variance71475.2423
MonotonicityNot monotonic
2022-11-23T19:36:49.666112image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9601147
 
3.0%
9506137
 
2.8%
9512119
 
2.5%
9603113
 
2.3%
9401106
 
2.2%
9602101
 
2.1%
9511100
 
2.1%
951096
 
2.0%
950794
 
1.9%
930188
 
1.8%
Other values (118)3742
77.3%
ValueCountFrequency (%)
86071
 
< 0.1%
860811
0.2%
86094
 
0.1%
86107
0.1%
86119
0.2%
ValueCountFrequency (%)
970211
0.2%
970113
0.3%
961211
0.2%
96114
 
0.1%
961010
0.2%

MAXRAMNT
Real number (ℝ≥0)

SKEWED

Distinct75
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.17726616
Minimum5
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:49.740402image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile7
Q111
median15
Q320
95-th percentile32.9
Maximum1000
Range995
Interquartile range (IQR)9

Descriptive statistics

Standard deviation20.72651289
Coefficient of variation (CV)1.140243682
Kurtosis1098.522737
Mean18.17726616
Median Absolute Deviation (MAD)5
Skewness26.13312674
Sum88032.5
Variance429.5883368
MonotonicityNot monotonic
2022-11-23T19:36:49.813745image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15872
18.0%
20785
16.2%
10639
13.2%
25468
9.7%
12248
 
5.1%
11183
 
3.8%
7169
 
3.5%
16152
 
3.1%
5129
 
2.7%
17129
 
2.7%
Other values (65)1069
22.1%
ValueCountFrequency (%)
5129
2.7%
5.61
 
< 0.1%
6111
2.3%
7169
3.5%
873
1.5%
ValueCountFrequency (%)
10001
 
< 0.1%
4501
 
< 0.1%
3001
 
< 0.1%
2502
< 0.1%
2004
0.1%

MAXRDATE
Real number (ℝ≥0)

Distinct128
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9422.079083
Minimum8312
Maximum9702
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:49.885928image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum8312
5-th percentile9008
Q19403
median9506
Q39512
95-th percentile9602
Maximum9702
Range1390
Interquartile range (IQR)109

Descriptive statistics

Standard deviation188.5377178
Coefficient of variation (CV)0.02001020328
Kurtosis3.792216149
Mean9422.079083
Median Absolute Deviation (MAD)94
Skewness-1.898188121
Sum45631129
Variance35546.47103
MonotonicityNot monotonic
2022-11-23T19:36:49.953833image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9512487
 
10.1%
9601327
 
6.8%
9509316
 
6.5%
9602248
 
5.1%
9412237
 
4.9%
9506231
 
4.8%
9511221
 
4.6%
9504207
 
4.3%
9510203
 
4.2%
9603133
 
2.7%
Other values (118)2233
46.1%
ValueCountFrequency (%)
83121
 
< 0.1%
85071
 
< 0.1%
86051
 
< 0.1%
86086
0.1%
86093
0.1%
ValueCountFrequency (%)
97024
 
0.1%
97017
0.1%
961212
0.2%
96114
 
0.1%
96102
 
< 0.1%

LASTGIFT
Real number (ℝ≥0)

Distinct70
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.16895932
Minimum0
Maximum450
Zeros12
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:50.109564image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q110
median15
Q320
95-th percentile28
Maximum450
Range450
Interquartile range (IQR)10

Descriptive statistics

Standard deviation13.52686681
Coefficient of variation (CV)0.8917465279
Kurtosis303.4842463
Mean15.16895932
Median Absolute Deviation (MAD)5
Skewness12.54206247
Sum73463.27
Variance182.9761256
MonotonicityNot monotonic
2022-11-23T19:36:50.177400image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10846
17.5%
15794
16.4%
20618
12.8%
5412
 
8.5%
25353
 
7.3%
12190
 
3.9%
6171
 
3.5%
7144
 
3.0%
16127
 
2.6%
11115
 
2.4%
Other values (60)1073
22.2%
ValueCountFrequency (%)
012
 
0.2%
12
 
< 0.1%
214
 
0.3%
2.52
 
< 0.1%
3106
2.2%
ValueCountFrequency (%)
4501
< 0.1%
3001
< 0.1%
2501
< 0.1%
2191
< 0.1%
2001
< 0.1%

LASTDATE
Real number (ℝ≥0)

Distinct24
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9556.863514
Minimum9503
Maximum9702
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:50.240151image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9503
5-th percentile9506
Q19511
median9512
Q39602
95-th percentile9611
Maximum9702
Range199
Interquartile range (IQR)91

Descriptive statistics

Standard deviation52.55173644
Coefficient of variation (CV)0.005498847646
Kurtosis-0.5957443216
Mean9556.863514
Median Absolute Deviation (MAD)8
Skewness0.5653709793
Sum46283890
Variance2761.685003
MonotonicityNot monotonic
2022-11-23T19:36:50.300061image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
9512966
19.9%
9601702
14.5%
9602627
12.9%
9603595
12.3%
9511381
 
7.9%
9509267
 
5.5%
9510236
 
4.9%
9506198
 
4.1%
9504138
 
2.8%
9508138
 
2.8%
Other values (14)595
12.3%
ValueCountFrequency (%)
950310
 
0.2%
9504138
2.8%
950582
1.7%
9506198
4.1%
9507133
2.7%
ValueCountFrequency (%)
970286
1.8%
970165
1.3%
961274
1.5%
961134
 
0.7%
961029
 
0.6%

FISTDATE
Real number (ℝ≥0)

Distinct127
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9090.344002
Minimum7510
Maximum9603
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:50.373091image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum7510
5-th percentile8609
Q18804
median9103
Q39402
95-th percentile9510
Maximum9603
Range2093
Interquartile range (IQR)598

Descriptive statistics

Standard deviation317.5747909
Coefficient of variation (CV)0.03493539858
Kurtosis-1.152265241
Mean9090.344002
Median Absolute Deviation (MAD)299
Skewness-0.1363645607
Sum44024536
Variance100853.7478
MonotonicityNot monotonic
2022-11-23T19:36:50.442186image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8608156
 
3.2%
9401148
 
3.1%
9501130
 
2.7%
8809125
 
2.6%
9310117
 
2.4%
9506114
 
2.4%
9409113
 
2.3%
8610112
 
2.3%
8612112
 
2.3%
8801112
 
2.3%
Other values (117)3604
74.4%
ValueCountFrequency (%)
75101
< 0.1%
78041
< 0.1%
81111
< 0.1%
83041
< 0.1%
83121
< 0.1%
ValueCountFrequency (%)
960318
 
0.4%
960258
1.2%
960192
1.9%
951212
 
0.2%
951121
 
0.4%

NEXTDATE
Real number (ℝ≥0)

MISSING

Distinct132
Distinct (%)2.9%
Missing320
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean9119.086226
Minimum7810
Maximum9701
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:50.513801image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum7810
5-th percentile8703
Q18812
median9110
Q39405
95-th percentile9511
Maximum9701
Range1891
Interquartile range (IQR)593

Descriptive statistics

Standard deviation295.572663
Coefficient of variation (CV)0.03241253078
Kurtosis-1.163592392
Mean9119.086226
Median Absolute Deviation (MAD)295
Skewness-0.1348046006
Sum41245627
Variance87363.19911
MonotonicityNot monotonic
2022-11-23T19:36:50.585514image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8703132
 
2.7%
8612109
 
2.3%
9504107
 
2.2%
941293
 
1.9%
890291
 
1.9%
951286
 
1.8%
870477
 
1.6%
920575
 
1.5%
911269
 
1.4%
930469
 
1.4%
Other values (122)3615
74.6%
(Missing)320
 
6.6%
ValueCountFrequency (%)
78101
< 0.1%
80121
< 0.1%
82111
< 0.1%
84051
< 0.1%
84101
< 0.1%
ValueCountFrequency (%)
97013
 
0.1%
96111
 
< 0.1%
96091
 
< 0.1%
96041
 
< 0.1%
960335
0.7%

TIMELAG
Real number (ℝ≥0)

MISSING
ZEROS

Distinct43
Distinct (%)1.0%
Missing320
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean7.724519124
Minimum0
Maximum77
Zeros50
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:50.661158image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median6
Q310
95-th percentile20
Maximum77
Range77
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.201588282
Coefficient of variation (CV)0.8028445761
Kurtosis8.829754734
Mean7.724519124
Median Absolute Deviation (MAD)3
Skewness2.184325186
Sum34938
Variance38.45969722
MonotonicityNot monotonic
2022-11-23T19:36:50.728287image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
3490
10.1%
5478
9.9%
4448
9.3%
6391
 
8.1%
2375
 
7.7%
7326
 
6.7%
8267
 
5.5%
9248
 
5.1%
1203
 
4.2%
10192
 
4.0%
Other values (33)1105
22.8%
(Missing)320
 
6.6%
ValueCountFrequency (%)
050
 
1.0%
1203
4.2%
2375
7.7%
3490
10.1%
4448
9.3%
ValueCountFrequency (%)
771
 
< 0.1%
621
 
< 0.1%
445
0.1%
393
0.1%
383
0.1%

AVGGIFT
Real number (ℝ≥0)

Distinct1650
Distinct (%)34.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.83675396
Minimum2.260869565
Maximum450
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:50.802362image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2.260869565
5-th percentile4.352941176
Q17.181818182
median10
Q314.5
95-th percentile25
Maximum450
Range447.7391304
Interquartile range (IQR)7.318181818

Descriptive statistics

Standard deviation10.14795148
Coefficient of variation (CV)0.8573255405
Kurtosis751.3794397
Mean11.83675396
Median Absolute Deviation (MAD)3.388888889
Skewness19.56167775
Sum57325.39941
Variance102.9809193
MonotonicityNot monotonic
2022-11-23T19:36:50.870458image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15228
 
4.7%
20152
 
3.1%
10112
 
2.3%
2591
 
1.9%
1368
 
1.4%
12.567
 
1.4%
954
 
1.1%
847
 
1.0%
539
 
0.8%
1139
 
0.8%
Other values (1640)3946
81.5%
ValueCountFrequency (%)
2.2608695651
< 0.1%
2.3157894741
< 0.1%
2.3611111111
< 0.1%
2.4398148151
< 0.1%
2.4459459461
< 0.1%
ValueCountFrequency (%)
4501
< 0.1%
2001
< 0.1%
122.16666671
< 0.1%
103.57142861
< 0.1%
1001
< 0.1%

CONTROLN
Real number (ℝ≥0)

UNIQUE

Distinct4843
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98925.66901
Minimum12
Maximum191779
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:50.941742image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile7173.1
Q146171.5
median101654
Q3151716
95-th percentile185684.6
Maximum191779
Range191767
Interquartile range (IQR)105544.5

Descriptive statistics

Standard deviation58283.33305
Coefficient of variation (CV)0.58916289
Kurtosis-1.284252628
Mean98925.66901
Median Absolute Deviation (MAD)52199
Skewness-0.09019851021
Sum479097015
Variance3396946911
MonotonicityNot monotonic
2022-11-23T19:36:51.015523image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
829431
 
< 0.1%
86691
 
< 0.1%
1321791
 
< 0.1%
595881
 
< 0.1%
1491991
 
< 0.1%
120031
 
< 0.1%
754741
 
< 0.1%
1353411
 
< 0.1%
606941
 
< 0.1%
1459821
 
< 0.1%
Other values (4833)4833
99.8%
ValueCountFrequency (%)
121
< 0.1%
671
< 0.1%
711
< 0.1%
1421
< 0.1%
1591
< 0.1%
ValueCountFrequency (%)
1917791
< 0.1%
1916631
< 0.1%
1915471
< 0.1%
1915311
< 0.1%
1915281
< 0.1%

TARGET_B
Real number (ℝ≥0)

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:51.078615image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum4843
Variance0
MonotonicityIncreasing
2022-11-23T19:36:51.120506image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
14843
100.0%
ValueCountFrequency (%)
14843
100.0%
ValueCountFrequency (%)
14843
100.0%

TARGET_D
Real number (ℝ≥0)

Distinct70
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.62434441
Minimum1
Maximum200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:51.261183image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q110
median13
Q320
95-th percentile32
Maximum200
Range199
Interquartile range (IQR)10

Descriptive statistics

Standard deviation12.44513712
Coefficient of variation (CV)0.7965221956
Kurtosis52.85091189
Mean15.62434441
Median Absolute Deviation (MAD)6
Skewness5.169489731
Sum75668.7
Variance154.8814379
MonotonicityNot monotonic
2022-11-23T19:36:51.333256image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10941
19.4%
15591
12.2%
20577
11.9%
5503
10.4%
25392
 
8.1%
12161
 
3.3%
7126
 
2.6%
6124
 
2.6%
11118
 
2.4%
8114
 
2.4%
Other values (60)1196
24.7%
ValueCountFrequency (%)
17
 
0.1%
221
 
0.4%
2.51
 
< 0.1%
386
1.8%
476
1.6%
ValueCountFrequency (%)
2004
 
0.1%
1501
 
< 0.1%
1021
 
< 0.1%
1011
 
< 0.1%
10022
0.5%

HPHONE_D
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4949411522
Minimum0
Maximum1
Zeros2446
Zeros (%)50.5%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:51.394425image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5000260337
Coefficient of variation (CV)1.010273709
Kurtosis-2.00041651
Mean0.4949411522
Median Absolute Deviation (MAD)0
Skewness0.02024269731
Sum2397
Variance0.2500260343
MonotonicityNot monotonic
2022-11-23T19:36:51.439413image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
02446
50.5%
12397
49.5%
ValueCountFrequency (%)
02446
50.5%
12397
49.5%
ValueCountFrequency (%)
12397
49.5%
02446
50.5%

RFA_2R
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size38.0 KiB
L
4843 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowL
2nd rowL
3rd rowL
4th rowL
5th rowL

Common Values

ValueCountFrequency (%)
L4843
100.0%

Category Frequency Plot

2022-11-23T19:36:51.488962image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

RFA_2F
Real number (ℝ≥0)

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.245508982
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:51.524393image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.155513141
Coefficient of variation (CV)0.5145885189
Kurtosis-1.374900447
Mean2.245508982
Median Absolute Deviation (MAD)1
Skewness0.30741853
Sum10875
Variance1.33521062
MonotonicityNot monotonic
2022-11-23T19:36:51.568692image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
11794
37.0%
21056
21.8%
31003
20.7%
4990
20.4%
ValueCountFrequency (%)
11794
37.0%
21056
21.8%
31003
20.7%
4990
20.4%
ValueCountFrequency (%)
4990
20.4%
31003
20.7%
21056
21.8%
11794
37.0%

RFA_2A
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size38.0 KiB
F
2056 
E
1400 
D
696 
G
691 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowD
2nd rowD
3rd rowD
4th rowF
5th rowE

Common Values

ValueCountFrequency (%)
F2056
42.5%
E1400
28.9%
D696
 
14.4%
G691
 
14.3%

Category Frequency Plot

2022-11-23T19:36:51.627257image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

MDMAUD_R
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size38.0 KiB
X
4828 
C
 
8
I
 
3
D
 
2
L
 
2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowX
2nd rowX
3rd rowX
4th rowX
5th rowX

Common Values

ValueCountFrequency (%)
X4828
99.7%
C8
 
0.2%
I3
 
0.1%
D2
 
< 0.1%
L2
 
< 0.1%

Category Frequency Plot

2022-11-23T19:36:51.681472image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

MDMAUD_F
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size38.0 KiB
X
4828 
1
 
10
2
 
5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowX
2nd rowX
3rd rowX
4th rowX
5th rowX

Common Values

ValueCountFrequency (%)
X4828
99.7%
110
 
0.2%
25
 
0.1%

Category Frequency Plot

2022-11-23T19:36:51.730372image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

MDMAUD_A
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size38.0 KiB
X
4828 
C
 
13
L
 
2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowX
2nd rowX
3rd rowX
4th rowX
5th rowX

Common Values

ValueCountFrequency (%)
X4828
99.7%
C13
 
0.3%
L2
 
< 0.1%

Category Frequency Plot

2022-11-23T19:36:51.775901image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

CLUSTER2
Real number (ℝ≥0)

Distinct62
Distinct (%)1.3%
Missing6
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean30.2030184
Minimum1
Maximum62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2022-11-23T19:36:51.830002image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q113
median28
Q348
95-th percentile59
Maximum62
Range61
Interquartile range (IQR)35

Descriptive statistics

Standard deviation18.9493286
Coefficient of variation (CV)0.6273985055
Kurtosis-1.325024263
Mean30.2030184
Median Absolute Deviation (MAD)16
Skewness0.1564041803
Sum146092
Variance359.0770546
MonotonicityNot monotonic
2022-11-23T19:36:51.900565image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13222
 
4.6%
5178
 
3.7%
59137
 
2.8%
15136
 
2.8%
57135
 
2.8%
12133
 
2.7%
2120
 
2.5%
11115
 
2.4%
32112
 
2.3%
4106
 
2.2%
Other values (52)3443
71.1%
ValueCountFrequency (%)
173
1.5%
2120
2.5%
378
1.6%
4106
2.2%
5178
3.7%
ValueCountFrequency (%)
6285
1.8%
6176
1.6%
6070
1.4%
59137
2.8%
5896
2.0%

GEOCODE2
Categorical

Distinct4
Distinct (%)0.1%
Missing13
Missing (%)0.3%
Memory size38.0 KiB
A
1828 
B
1408 
D
813 
C
781 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowA
2nd rowA
3rd rowC
4th rowA
5th rowA

Common Values

ValueCountFrequency (%)
A1828
37.7%
B1408
29.1%
D813
16.8%
C781
16.1%
(Missing)13
 
0.3%

Category Frequency Plot

2022-11-23T19:36:51.969697image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/